{"id":24461,"date":"2025-07-01T15:00:53","date_gmt":"2025-07-01T13:00:53","guid":{"rendered":"https:\/\/sano.science\/?page_id=24461"},"modified":"2025-11-20T14:45:59","modified_gmt":"2025-11-20T13:45:59","slug":"national-grants","status":"publish","type":"page","link":"https:\/\/sano.science\/projects\/national-grants\/","title":{"rendered":"National grants"},"content":{"rendered":"\n\t<section class=\"title-and-texts-in-columns pt-64px pb-40px lg:pt-80px lg:pb-64px\">\n\t\t<div class=\"container\">\n\t\t\t<div class=\"title-and-texts-in-columns__content flex flex-col lg:flex-row gap-x-128px gap-y-32px\">\n\n\t\t\t\t<div class=\"title-and-texts-in-columns__content-title\">\n\t\t\t\t\t\n    <h2 class=\"  text-primary-900 w-full lg:min-w-141px lg:max-w-250\">\n\n            National grants\n\n    <\/h2>\n\n\t\t\t\t<\/div>\n\n\t\t\t\t<div class=\"title-and-texts-in-columns__content-texts w-full max-w-760px lg:max-w-750 flex flex-col gap-y-32px lg:gap-y-48px\">\n\t\t\t\t\t\t\t\t\t\t\t\n\t<div class=\"text-section flex flex-col gap-y-16\">\n\n\t\t\n    <h3 class=\"  text-primary-900\">\n\n            NCN:\n\n    <\/h3>\n\n\n\t\t<div class=\"text-section__description paragraph-m text-neutral-900\">\n\t\t\t<p><!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-0vTWbv\",\"epGeneratedClass\":\"eplus-wrapper\"} --><\/p>\n<h6>Sonata:<\/h6>\n<blockquote><p><a href=\"#Sonata202024\">20 2024\/55\/D\/ST6\/02081 MultiGeoMed<\/a> (2025 \u2013 2028)<\/p>\n<p><a href=\"#Sonata-Cemal\">20 2024\/55\/D\/ST6\/02081\u00a0 <\/a>(2025 \u2013 2027)<\/p>\n<p><a href=\"#Sonata-2023-51-D-NZ7-02596-\">2023\/51\/D\/NZ7\/02596 <\/a>(2024 &#8211; 2027)<\/p>\n<p>&nbsp;<\/p><\/blockquote>\n<h5><!-- wp:spacer {\"height\":\"30px\",\"epAnimationGeneratedClass\":\"edplus_anim-YBwZYN\",\"epGeneratedClass\":\"eplus-wrapper\"} --><\/h5>\n<h5><!-- \/wp:spacer --><\/h5>\n<h6>Preludium:<\/h6>\n<blockquote><p><a href=\"#Preludium-2024-53-N-NZ4-03513\">2024\/53\/N\/NZ4\/03513 <\/a>(2025\u00a0<s>\u2013<\/s>\u00a02027)<\/p>\n<p><a href=\"#Preludium-2023-49-N-ST6-01841\">2023\/49\/N\/ST6\/01841 <\/a>(2024\u00a0<s>\u2013<\/s>\u00a02027)<\/p>\n<p><a href=\"#Preludium-2023-49-N-ST6-04252\">2023\/49\/N\/ST6\/04252<\/a> (2024 \u2013 2025)<\/p>\n<p>&nbsp;<\/p><\/blockquote>\n<h6>Weave-Unisono:<\/h6>\n<blockquote><p><a href=\"#Weave\">2023\/05\/Y\/NZ2\/00080 <\/a>(2024-2028)<\/p><\/blockquote>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-FNI7Z4\",\"epGeneratedClass\":\"eplus-wrapper\"} --><\/p>\n<ul class=\"wp-block-list eplus-wrapper\"><!-- \/wp:list-item --><\/ul>\n<p><!-- \/wp:list --><\/p>\n\n\t\t<\/div>\n\n\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t\n\t<div class=\"text-section flex flex-col gap-y-16\">\n\n\t\t\n    <h3 class=\"  text-primary-900\">\n\n            FNP:\n\n    <\/h3>\n\n\n\t\t<div class=\"text-section__description paragraph-m text-neutral-900\">\n\t\t\t<blockquote><p><a href=\"#PRIME\">PRIME <\/a>(2025 \u2013 2025)<\/p><\/blockquote>\n\n\t\t<\/div>\n\n\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t\n\t<div class=\"text-section flex flex-col gap-y-16\">\n\n\t\t\n    <h2 class=\"  text-primary-900\">\n\n            PARP:\n\n    <\/h2>\n\n\n\t\t<div class=\"text-section__description paragraph-m text-neutral-900\">\n\t\t\t<blockquote><p><a href=\"#Grants-for-Eurogrants\">Grants for Eurogrants<\/a> (2025)<\/p>\n<p><a href=\"#ProspectAI\">Grants for Grants &#8211; ProspectAI<\/a> (2025)<\/p>\n<p><a href=\"#NeoSolution\">Grants for Grants \u2013 NeoSolution <\/a>(2025)<\/p>\n<p><a href=\"#BioTwinXR\">Grants for Grants &#8211; BioTwinXR<\/a> (2025)<\/p><\/blockquote>\n\n\t\t<\/div>\n\n\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/section>\n\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-3c8c4f\" id=\"Sonata-20-2024\">\n<div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"89\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/11\/NCN-logo-en-1024x89.png\" alt=\"\" class=\"wp-image-26735\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/11\/NCN-logo-en-1024x89.png 1024w, https:\/\/sano.science\/wp-content\/uploads\/2025\/11\/NCN-logo-en-300x26.png 300w, https:\/\/sano.science\/wp-content\/uploads\/2025\/11\/NCN-logo-en-768x67.png 768w, https:\/\/sano.science\/wp-content\/uploads\/2025\/11\/NCN-logo-en-1536x134.png 1536w, https:\/\/sano.science\/wp-content\/uploads\/2025\/11\/NCN-logo-en-2048x178.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-sonata-20-2024-55-d-st6-02081\">Sonata 20 2024\/55\/D\/ST6\/02081<\/h2>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project title<\/strong>: Multimodal Geometric Deep Learning in Medical Image Analysis (MultiGeoMed).<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:\u00a0 MultiGeoMed is a cutting-edge, multidisciplinary research project at the intersection of artificial intelligence, medical imaging, and geometric deep learning. The project aims to advance fundamental knowledge in multimodal geometric deep learning \u2014 a rapidly evolving field that explores how different geometric representations can be combined to improve performance in medical imaging tasks. Our mission is to push the boundaries of how machines understand and process complex anatomical structures. The project aims to:<\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-d3717c\">\n<li class=\" eplus-wrapper\">Determine which geometric representation provides the most benefit for specific medical imaging tasks.<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Develop strategies to fuse multiple representations for enhanced performance in geometric deep learning models.<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Create scalable algorithms for integrating diverse geometric modalities into clinical workflows.<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Improve diagnostic accuracy and enable personalized treatment through advanced AI-driven shape analysis.<\/li>\n<\/ul>\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Scientific Leader:<\/strong> <a href=\"https:\/\/sano.science\/people\/marek-wodzinski\/\"><strong>Marek Wodzi\u0144ski<\/strong><\/a>, PhD<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Duration<\/strong>: 01.10.2025 \u2013 30.09.2028<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Amount of Funding<\/strong>: 1 246 840 PLN<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/mwodzinski.edu.pl\/multigeomed\/about\">https:\/\/mwodzinski.edu.pl\/multigeomed\/about<\/a><\/p>\n<\/div>\n<\/div>\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-385fb3\" id=\"Sonata-Cemal\">\n<div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-sonata-20-2024-55-d-st6-02081-0\"><strong>Sonata 20 2024\/55\/D\/ST6\/02081<\/strong><\/h2>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project title<\/strong>: Linking Eye Movements and Brain Function to Monitor Stroke-induced Alterations with fMRI\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:\u202f\u00a0Ischemic stroke\u00a0frequently\u00a0leads to disruptions in eye movements, such as saccadic errors, gaze deficits, and nystagmus. Because the oculomotor system is tightly linked to major brain networks\u2014visual, motor, attention, memory, and language\u2014changes in eye\u00a0behavior\u00a0can reflect broader neural dysfunctions. Prior work shows that eye-tracking\u2013based measures can help detect stroke and predict recovery, yet the neural basis of these links\u00a0remains\u00a0unclear. This project proposes using\u00a0rs-fMRI signals from ocular regions to characterize functional alterations after stroke. By applying dimensionality reduction, each patient\u2019s brain activity can be represented in low-dimensional space and compared with healthy controls. Using a large longitudinal dataset of stroke patients, the study will test whether this representation captures long-term recovery, how eye-movement changes relate to functional reorganization, and how treatments influence both brain and ocular metrics. The findings may support future diagnostic and personalized therapeutic strategies.\u00a0<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Scientific Leader:<\/strong> <a href=\"https:\/\/sano.science\/people\/cemal-koba\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Cemal Koba<\/strong><\/a><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Duration<\/strong>: 01.10.2025 \u2013 30.09.2027\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Amount of Funding<\/strong>:\u00a0568\u202f520\u00a0PLN\u00a0<\/p>\n<\/div>\n<\/div>\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-b88e35\">\n<div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow\" id=\"Sonata-2023-51-D-NZ7-02596-\"><div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-4c5a21\">\n<div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-sonata-2023-51-d-nz7-02596-nbsp\">Sonata 2023\/51\/D\/NZ7\/02596\u00a0<\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Title:\u00a0<em>\u201cOne step to game changer\u201d: combined antimicrobial therapy based on AI and nanotechnology to combat challenging diabetes foot infections<\/em><em><\/em>\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Antimicrobial resistance (AMR) poses a growing threat to public health, particularly in diabetic patients prone to severe infections such as diabetic foot infections (DFIs). DFIs can escalate rapidly, often leading to amputation or death, and are increasingly resistant to standard therapies. This interdisciplinary project aims to design and develop biocompatible antimicrobial nanoparticles (BANs) as an innovative solution for treating DFIs and combating AMR. Using AI-guided drug development, green-chemistry-based nanomaterials, and cutting-edge biological models\u2014including patient-derived clinical isolates and human skin organoids\u2014the project seeks to deliver effective and safe therapies.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The work is a collaboration between\u00a0<strong>the \u0141ukasiewicz Research Network \u2013 Krakow Institute of Technology<\/strong>\u00a0and Sano \u2013 Centre for Computational Personalised Medicine.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project Objectives:\u00a0<\/strong><\/p>\n\n\n<ol start=\"1\" class=\"wp-block-list eplus-wrapper eplus-styles-uid-1354b0\">\n<li class=\" eplus-wrapper\"><strong>Develop AI-powered drug selection tools<\/strong>:\u00a0<\/li>\n<\/ol>\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-936ef2\">\n<li class=\" eplus-wrapper\"><em>ComBiotic<\/em>: Identifies synergistic antimicrobial combinations.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\"><em>CombiGuard<\/em>: Predicts and evaluates potential side effects of drug interactions.\u00a0<\/li>\n<\/ul>\n\n<ol start=\"2\" class=\"wp-block-list eplus-wrapper eplus-styles-uid-c7be3b\">\n<li class=\" eplus-wrapper\"><strong>Create biocompatible nanocarriers<\/strong>:\u00a0<\/li>\n<\/ol>\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-68cbec\">\n<li class=\" eplus-wrapper\">Design biopolysaccharide-based inclusion matrices (BIMs) to encapsulate AI-selected antimicrobials.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Engineer self-organizing \u201cTrojan horse\u201d nanoparticles (BANs) that exploit bacteria\u2019s increased sugar uptake in diabetic environments.\u00a0<\/li>\n<\/ul>\n\n<ol start=\"3\" class=\"wp-block-list eplus-wrapper eplus-styles-uid-588852\">\n<li class=\" eplus-wrapper\"><strong>Evaluate biological effectiveness of BANs<\/strong>:\u00a0<\/li>\n<\/ol>\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-b7ce5c\">\n<li class=\" eplus-wrapper\">Test antimicrobial efficacy in vitro against DFI-relevant pathogens (e.g.,\u00a0<em>S. aureus<\/em>,\u00a0<em>E. coli<\/em>,\u00a0<em>P. aeruginosa<\/em>).\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Assess cytotoxicity and selectivity using human keratinocyte models.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Validate findings in vivo using mouse infection models and advanced human skin organoids to support personalized treatment development.\u00a0<\/li>\n<\/ul>\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Duration:\u00a010\u00a0July\u00a02024\u00a0\u2013\u00a09\u00a0Jul 2027<\/strong>\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project lead: Barbara Pucelik (<\/strong>\u0141ukasiewicz Research Network \u2013 Krakow Institute of Technology)<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Sano\u2019s\u00a0project mentor:\u00a0<a href=\"https:\/\/sano.science\/people\/tomasz-kosciolek\/\"><strong>Tomasz Ko\u015bci\u00f3\u0142ek<\/strong><\/a>\u00a0<em>(Research Team Leader of\u00a0<\/em><a href=\"https:\/\/sano.science\/research-teams\/structural-and-functional-genomics-group\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Structural and Functional Genomics Group)<\/em><\/a>\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Partners\/ List of collaborators:<\/strong>\u00a0<\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-50e09b\">\n<li class=\" eplus-wrapper\">\u0141ukasiewicz KIT\u00a0<\/li>\n<\/ul><\/div>\n<\/div><\/div>\n<\/div>\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-64c3f9\" id=\"Preludium-2023-49-N-ST6-01841\"><div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow eplus-styles-uid-98a4b2\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-preludium-2023-49-n-st6-01841-nbsp\">Preludium 2023\/49\/N\/ST6\/01841\u00a0<\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Title:\u00a0<em>Multimodal Deep Learning for\u00a0<\/em><em>Noninvasive<\/em><em>\u00a0Pulmonary Hypertension Diagnosis from Magnetic Resonance Imaging<\/em><em><\/em>\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Pulmonary hypertension (PH) is characterized by elevated pressure in the pulmonary artery and affects approximately 1% of adults. The standard diagnostic method\u2014cardiac catheterization\u2014is invasive, expensive, and carries clinical risk. The project focuses on developing non-invasive deep learning techniques for estimating mean pulmonary artery pressure (mPAP) using cardiac MRI data.A dataset comprising multimodal MRI recordings and corresponding clinical information, collected by the University of Sheffield and Sheffield Teaching Hospitals, will be used to train and evaluate predictive models. Initial efforts will involve convolutional and transformer-based architectures applied to single-modality data. In subsequent stages, multimodal learning strategies will be implemented by integrating diverse imaging data and structured patient information. To ensure clinical interpretability, existing explainability tools will be applied and extended.\u00a0\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project Objectives:\u00a0<\/strong><\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-b49578\">\n<li class=\" eplus-wrapper\">Development of benchmark deep learning models for mPAP prediction based on MRI.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Design of multimodal architectures combining various imaging modalities.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Integration of tabular clinical data to enhance prediction accuracy.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Implementation of explainability methods to support clinical interpretability.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Establishment of foundations for fully non-invasive cardiac diagnostics.\u00a0<\/li>\n<\/ul>\n\n\n<p class=\" eplus-wrapper\"><strong>Project Goals:\u00a0<\/strong><\/p>\n\n\n\n<p class=\" eplus-wrapper\">The project aims to enhance current approaches to PH diagnosis through the utilization of deep learning techniques.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The work is a collaboration between\u00a0<strong>the\u00a0<\/strong><strong>Warsaw University of Technology\u00a0<\/strong>\u00a0and Sano \u2013 Centre for Computational Personalised Medicine.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Duration:<\/strong>\u00a0 17 January 2024\u00a0<s>\u2013<\/s>\u00a016 January 2027\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project lead: <a href=\"https:\/\/sano.science\/people\/michal-grzeszczyk\/\">Micha\u0142 Grzeszczyk<\/a><\/strong>\u00a0<em>(PhD Student in\u00a0<a href=\"https:\/\/sano.science\/research-teams\/health-informatics-group-higs\/\" target=\"_blank\" rel=\"noreferrer noopener\">Medical Imaging and Robotics<\/a>)<\/em><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Partners\/ List of collaborators:<\/strong>\u00a0<\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-c8908d\">\n<li class=\" eplus-wrapper\">Massachusetts General Hospital, Harvard Medical School\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Warsaw University of Technology<em>\u00a0<\/em>\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">University of Sheffield\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Sheffield Teaching Hospitals NHS Foundation Trust\u00a0<\/li>\n<\/ul><\/div><\/div>\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-13ffbc\" id=\"Preludium-2024-53-N-NZ4-03513\"><div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow eplus-styles-uid-98a4b2\" id=\"Preludium-03513\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-preludium-nbsp-2024-53-n-nz4-03513-nbsp\">Preludium\u00a02024\/53\/N\/NZ4\/03513\u00a0<\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Title<\/strong>:<em>\u00a0Diffusion magnetic resonance imaging for accurate white matter tracking in peritumoral tissue to enhance surgical planning, precision, and prediction in neuro-oncology\u202f\u00a0<\/em><\/p>\n\n\n\n<p class=\" eplus-wrapper\">This project leverages diffusion MRI (dMRI) and tractography to map glioma-induced structural and connectivity changes in the brain. By combining imaging data with molecular markers, and applying advanced techniques such as spherical deconvolution, the project aims to improve fiber tracking in tumor-adjacent regions and provide deeper insights into tumor behavior. The ultimate goal is to develop reliable imaging biomarkers to support diagnosis, surgical planning, and understanding of glioma biology.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project Goals:\u00a0<\/strong><\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-3b3988\">\n<li class=\" eplus-wrapper\">Optimize preprocessing pipelines for large-scale dMRI datasets of glioma patients.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Apply advanced tractography techniques, including spherical deconvolution, to improve reconstruction of white matter in peritumoral regions.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Integrate imaging and molecular data to explore the relationship between tumor biology and structural brain connectivity.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Support the development of imaging biomarkers to enhance glioma diagnosis, treatment planning, and research, especially when individual dMRI scans are not available.\u00a0<\/li>\n<\/ul>\n\n\n<p class=\" eplus-wrapper\"><strong>Duration:\u00a0\u00a0<\/strong>16 January 2025\u00a0<s>\u2013<\/s>\u00a015 January 2027<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project lead: <a href=\"https:\/\/sano.science\/people\/joan-falco-roget\/\">Joan Falco Roget\u00a0<\/a><\/strong><em>(PhD Student in\u00a0<a href=\"https:\/\/sano.science\/people\/joan-falco-roget\/\" target=\"_blank\" rel=\"noreferrer noopener\">Computational Neuroscience<\/a>)<\/em><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Partners\/ List of collaborators:<\/strong>\u00a0<\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-0ef8dc\">\n<li class=\" eplus-wrapper\"><em>The University of\u00a0Messina<\/em>\u00a0<\/li>\n<\/ul>\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<\/div><\/div>\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-d239de\"><div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow eplus-styles-uid-98a4b2\" id=\"Preludium-2023-49-N-ST6-04252\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-preludium-2023-49-n-st6-04252\">Preludium 2023\/49\/N\/ST6\/04252<\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Title:\u00a0<em>Understanding the influence of variation in venous anatomy on local haemodynamics in patients with deep vein thrombosis of the lower limb: statistical shape modelling approach.\u00a0<\/em><\/p>\n\n\n\n<p class=\" eplus-wrapper\">This project aims to improve the understanding and prediction of post-thrombotic syndrome (PTS) following deep vein thrombosis (DVT) in the lower limbs by investigating how local venous anatomy influences blood flow patterns associated with thrombus formation. Using a combination of Computational Fluid Dynamics (CFD) and Statistical Shape Models (SSM), the research will analyze both idealized and patient-specific venous geometries derived from medical imaging (CT\/MRI) to identify key anatomical features linked to abnormal haemodynamics, such as low wall shear stress and retrograde flow.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The core objective is to determine whether SSMs can efficiently characterize shape-related risk factors and reduce the need for computationally expensive CFD simulations in clinical workflows. By applying sensitivity analysis and uncertainty quantification methods, the project will establish a framework to assess how anatomical variability influences haemodynamic metrics, ultimately supporting more accurate and cost-effective patient-specific diagnosis and intervention planning. This novel application of SSM-CFD integration to venous disease has strong potential to enhance clinical decision-making in vascular medicine.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project Goals:\u00a0\u00a0<\/strong><\/p>\n\n\n\n<p class=\" eplus-wrapper\">The influence of the diversity of vein anatomy on the local anatomy hemodynamics in patients with venous thrombosis\u00a0 deep lower limb: statistical technician shape modeling.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Duration:\u00a0\u00a0<\/strong>29 January 2024 \u2013 28 August 2025\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project lead: <a href=\"https:\/\/sano.science\/people\/magdalena-otta\/\">Magdalena Otta<\/a><\/strong>\u00a0<em>(PhD Student in\u00a0<a href=\"https:\/\/sano.science\/research-teams\/extreme-scale-data-and-computing\/\" target=\"_blank\" rel=\"noreferrer noopener\">Extreme-scale Data and Computing<\/a>)<\/em><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Partners\/ List of collaborators:<\/strong>\u00a0<\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-b619fa\">\n<li class=\" eplus-wrapper\">Royal Free Hospital\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">University of Sheffield\u00a0<\/li>\n<\/ul>\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<\/div><\/div>\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-54e213\" id=\"Weave\">\n<div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-weave-unisono-2023-05-y-nz2-00080-nbsp-nbsp\">Weave-Unisono 2023\/05\/Y\/NZ2\/00080\u00a0\u00a0<\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Title<\/strong>:\u00a0<em>Evolutionary-scale interpretation of protein functions in the human gut microbiome.<\/em>\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The Weave project aims to create a detailed atlas of human gut protein structures with functional annotations, centered around a Protein Universe Map for navigating the gut microbiome. Leveraging deep learning and evolutionary modeling, it focuses on the 40% of gut proteins with unknown functions. By using advanced tools like AlphaFold2 and deepFRI, overcomes the limitations of traditional annotation methods and paves the way for deeper insights into gut microbiota metabolism and future therapeutic discovery.\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project Goals:\u00a0<\/strong><\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-69df7c\">\n<li class=\" eplus-wrapper\">Catalogue Construction: Assemble a detailed library of gut protein structures and their predicted functions, including modeling novel 3D structures.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Diversity Exploration: Analyze the sequence and structural diversity of functionally unknown proteins within the global protein space.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Evolutionary Tracing: Investigate evolutionary origins and potential relationships of gut proteins across different ecosystems.\u00a0<\/li>\n\n\n\n<li class=\" eplus-wrapper\">Function Prediction: Combine structural data with genomic context to infer biological functions of dark proteins.\u00a0<\/li>\n<\/ul>\n\n\n<p class=\" eplus-wrapper\"><strong>Duration:<\/strong>\u00a019 January 2024 \u2013 18 January 2028\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project lead:\u00a0<a href=\"https:\/\/sano.science\/people\/tomasz-kosciolek\/\">Tomasz Ko\u015bci\u00f3\u0142ek<\/a>\u00a0<\/strong><em>(Research Team Leader of\u00a0<\/em><a href=\"https:\/\/sano.science\/research-teams\/structural-and-functional-genomics-group\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Structural and Functional Genomics Group)<\/em><\/a>\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Partners\/ List of collaborators:<\/strong>\u00a0<\/p>\n\n\n<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-a291b1\">\n<li class=\" eplus-wrapper\">University of Basel<\/li>\n<\/ul><\/div>\n<\/div>\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity eplus-wrapper\"\/>\n\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-1a1b96\"><div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow eplus-styles-uid-98a4b2\" id=\"PRIME\">\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-prime-programme-for-research-innovation-and-market-excellence\">PRIME &#8211; Programme for Research Innovation and Market Excellence<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">PRIME is the first comprehensive acceleration programme in Poland dedicated to supporting the commercialization of scientific research results. It is implemented by the Foundation for Polish Science in partnership with the UK-based consultancy Oxentia, and funded by the European Funds for a Modern Economy (FENG). The programme aims to shift the perception of science\u2019s role in society\u2014emphasizing the practical application of research and its impact on the market and the economy.<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project title<\/strong>: Digital Twin of Blood Flow: CFD for Personalized Treatment Application in\u00a0Optimizing Deep Vein Thrombosis (DVT) Therapy<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>: We have developed a Digital Twin (DT)-based simulation tool that leverages Computational Fluid Dynamics (CFD) to model patient-specific blood flow dynamics. Using medical imaging and clinical data, the tool constructs a virtual model of the patient\u2019s vascular system, providing haemodynamic insights. This enables vascular surgeons to make data-driven, personalized treatment decisions, optimizing DVT\u00a0management, reducing complications, and improving patient outcomes.<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Scientific Leader<\/strong>:\u00a0<a href=\"https:\/\/sano.science\/people\/magdalena-otta\/\">Magdalena Otta\u00a0<\/a><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Business Leader<\/strong>:\u00a0<a href=\"https:\/\/sano.science\/people\/katarzyna-baliga-nicholson\/\">Katarzyna Baliga-Nicholson\u00a0<\/a><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Technology Transfer Supervisor:<\/strong>\u00a0<a href=\"https:\/\/sano.science\/people\/dominik-czaplicki\/\">Dominik Czaplicki \u00a0<\/a><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Duration of Phase I<\/strong>: 01.06.2025 \u2013 30.11.2025<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Amount of European Funds Contribution in Phase I <\/strong>is 69 849,00 PLN<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Amount of European Funds Contribution<\/strong>\u00a0313 904,00 PLN<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"87\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/PRIME-1024x87.png\" alt=\"\" class=\"wp-image-23799\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/PRIME-1024x87.png 1024w, https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/PRIME-300x25.png 300w, https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/PRIME-768x65.png 768w, https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/PRIME-1536x130.png 1536w, https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/PRIME-2048x173.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<p class=\" eplus-wrapper\">\u201cThe PRIME project \u2013 science commercialization support, is implemented by the Foundation for Polish Science (FNP) and co-financed by the European Union under the European Funds for Smart Economy 2021-2027 (FENG)<\/p>\n<\/div><\/div>\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity eplus-wrapper\"\/>\n\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-f96a6b\"><div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow eplus-styles-uid-0506e6\" id=\"Grants-for-Eurogrants\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-eurogrants\">Grants for Eurogrants<\/h2>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">We are implementing the project\u00a0<em>Alliance for an Ultra-High Fidelity Extended Reality CARDIAC Surgery Simulator &amp; Skills Cooperation<\/em>\u00a0under Action 2.12 of the FENG Programme \u2013\u00a0<em>Grants for Eurogrants<\/em>.<br>The project concerns obtaining funding from the Polish Agency for Enterprise Development (PARP) for the preparation of an application for a Eurogrant under the ERASMUS2027 programme, in the\u00a0<em>Partnerships for Innovation \u2013 Alliances<\/em>\u00a0call:\u00a0<em>ERASMUS-EDU-2025-PI-ALL-INNO-EDU-ENTERP<\/em>.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Sano was a partner in an interdisciplinary consortium of nine entities representing European universities, hospitals, and private companies. The proposal received the required number of evaluation points; however, it was not invited to the grant agreement stage due to budget allocation limits.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The Eurogrant focused on developing cardiac surgery skills through the creation of an innovative simulator using AI and XR technologies, including biomechanical heart models, hand and instrument tracking systems, and blood flow simulation. The project aimed to test and deploy the simulator in 10 centers and to train 300 surgeons.<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project objective:<\/strong>\u00a0to prepare and submit a Eurogrant application, increase the chances of obtaining funding, and enhance Sano\u2019s recognition in the international research community.<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Planned results of the \u201cGrants for Eurogrants\u201d project:<\/strong>\u00a0the funding will cover the costs related to the preparation of the Eurogrant application, including personnel expenses. The key outcomes are the submission of a proposal to the European Commission and the strengthening of Sano\u2019s international collaboration network.<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Total project value:<\/strong>\u00a041,000 PLN<br><strong>European Funds contribution:<\/strong>\u00a041,000 PLN<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>#FunduszeUE #FunduszeEuropejskie<\/strong><\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"136\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-1024x136.png\" alt=\"\" class=\"wp-image-26544\" style=\"width:727px;height:auto\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-1024x136.png 1024w, https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-300x40.png 300w, https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-768x102.png 768w, https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-1536x205.png 1536w, https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant.png 1606w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div><\/div><\/div>\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-c595a5\"><div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow eplus-styles-uid-98a4b2\" id=\"ProspectAI\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-grants-prospectai\">Grants for Grants &#8211; ProspectAI<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">T<strong>ype of Budgetary Grant<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe),\u201d supporting activities related to the preparation of a project proposal for a European Union research programme, carried out by the Institution and described in application no. ID\u00a0627439\u00a0\u00a0(PROSPECTAI)<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project Proposal Title<\/strong>:\u00a0Prospect early drug discovery with artificial intelligence &#8211; a Portuguese &amp; Polish HUB<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Granted Financial Support<\/strong>: PLN\u00a03 113,18<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Date of Contract Signature<\/strong>: 16.05.2025<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Contract Number<\/strong>: AGREEMENT No.\u00a06023\/GGPJ6-22\/HEUROPA\/0<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:\u00a0\u00a0PROSPECTAI aims to create an Excellence Hub on Artificial Intelligence (AI) in early Drug Discovery by leveraging the complementary ecosystems and capacities of two regions in Widening Countries &#8211; Lisbon and Tagus Valley (LTV) region, in Portugal, and Malopolska region, in Poland. PROSPECTAI will combine the best biology from the LTV region with the best computation from the Malopolska region. The convergence of these fields allows us to think about complex questions surrounding disease biology and drug discovery in a way that previously wouldn\u2019t have been possible. We are now at a place where computational techniques can drive research and experimentation rather than simply being tools for routine data analysis. The project will seamlessly articulate the efforts of leading scientists, emerging start-ups and SMEs, policy makers and societal actors from both ecosystems and utilize core complementary scientific and technology strengths in biobanking, multiomics, computational biology, machine learning and AI to accelerate the discovery of novel therapeutic targets and the development of new therapies. Over the next five years, this international collaboration will develop a platform that will promote the discovery of new druggable targets to be transformed into therapeutic programs and further developed by Start-Ups, SMEs, Mid-Caps and Industry, improving the rate at which new scientific discoveries translate into novel treatments. PROSPECTAI will stimulate the participation and empowerment of citizens and patients in early drug discovery efforts to deliver the promise of true precision and personalised medicine in the future.<\/p>\n<\/div><\/div>\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-8155bd\"><div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow eplus-styles-uid-98a4b2\" id=\"NeoSolution\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-grants-neosolution\">Grants for Grants &#8211; NeoSolution<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Type of Budgetary Grant<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe),\u201d supporting activities related to the preparation of a project proposal for a European Union research programme, carried out by the Institution and described in application no. ID 627458 (acronym: NEU SOLUTION).<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project Proposal Title<\/strong>: &#8220;European Centre of Excellence in the Longitudinal Approach to Prognosis, Treatment, and Rehabilitation of Non-Traumatic Brain Disorders (Work Package WP2),&#8221; submitted under the European Union Research Programme \u2013 Horizon Europe Framework Programme.<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Granted Financial Support<\/strong>: PLN 15,000<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Date of Contract Signature<\/strong>: June 3, 2025<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Contract Number<\/strong>: AGREEMENT No. 6067\/GGPJ6\u201322\/HEUROPA\/01<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:\u00a0 NEU SOLUTION aims to establish a network of excellence hubs across Europe, focusing on personalised diagnosis and treatment of non communicable neurological disorders (nNCDs) based on a cognitive neuroscience approach. The project will use stroke as a case study, capitalising on the potential for transferring diagnostic and therapeutic advances from one disease context to another. This effort will initially utilise existing scientific groundwork and extensive databases to enhance diagnostic and treatment protocols for stroke survivors, intending to extend these methodologies to other nervous system ailments, including neurodegenerative diseases and consciousness disorders from traumatic brain injuries. At its core, the project will form a quadruple helix consortium to integrate efforts across research, clinical practice, industry, and community stakeholders, driving innovation in nNCDs management. Building on multiple large scale grants already realised, the consortium aims to develop analytical tools for predicting individualised disease trajectories for personalised therapy and to establish remotely-controlled, neuroscientific-based intervention protocols via telemedicine. Strategically, the project will develop excellence hubs in Poland, Portugal, Malta, and a mentoring scheme in Serbia. Each of these with a designated focus ranging from clinical products to national data stewardship and emerging research capacitation. These hubs will work collaboratively to formulate a unified long-term research and innovation (R&amp;I) strategy that encompasses data stewardship and analysis for utilising large biomedical datasets effectively in clinical and research settings. The overarching goal is to foster knowledge transfer between academia and industry, enhancing treatment and rehabilitation processes for brain disorders, and to create resources that facilitate the translation of knowledge into practical value through skill development, networking, and the creation of startups<\/p>\n<\/div><\/div>\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-columns eplus-wrapper is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex eplus-styles-uid-3c49b2\"><div class=\"wp-block-column eplus-wrapper is-layout-flow wp-block-column-is-layout-flow eplus-styles-uid-98a4b2\" id=\"BioTwinXR\">\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-grants-biotwinxr\">Grants for Grants &#8211; BioTwinXR<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Type of budget subsidy<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe)\u201d, related to the preparation of a project proposal for the European Union research programme, carried out by the Entity and described in application no. ID 627440 (acronym: BioTwinXR).<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Project proposal titled<\/strong> \u201cBiomedical Digital Twins Enhanced with Extended Reality (Work Package 5: Applications of Extended Reality &#8211; Enhanced Virtual Human Twins)\u201d, submitted under the European Union research programme \u2013 Horizon Europe Framework Programme, Pillar: Excellent Science.<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Awarded funding<\/strong>: 12,361.23 PLN<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Date of agreement signing<\/strong>: April 15, 2025<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>Agreement number<\/strong>: AGREEMENT no. 6024\/GGPJ6-22\/HEUROPA\/01<\/p>\n\n\n\n<p class=\" eplus-wrapper\"><strong>English Summary<\/strong>:\u00a0Combining digital twins (DTs) with extended reality visualisation has the potential to revolutionise many working practices, particularly in biomedicine. The global DT market is expected to grow to nearly $50 billion by 2026. To stay competitive, European Research Infrastructures (RIs) need support to be able to integrate the deployment of DTs into the services they provide their communities, irrespective of their domains of interest. Our strategy in BioTwinXR is to empower RIs to do so, providing flexible DT tools for extended reality, validation, verification and uncertainty quantification, and infrastructure integration. BioTwinXR particularly targets the biomedical domain where an individualised DT may be used as a clinical decision support tool for that person in a specific healthcare scenario. We will develop a set of exemplars addressing disease cases pertaining to 75% of all deaths in Europe including cardiovascular disease, cancer, and respiratory infections. Successful deployment of these DTs is expected to lead to significant healthcare cost savings by diminution of ineffective treatments, improved therapies and lives saved through personalised interventions. Extended reality has a crucial role to play in enhancing the impact of these DTs by permitting doctors and patients to experience interactive and immersive engagement with the complex numerical models underpinning them. It will substantially increase the scope for education, training and therapy planning in the use of DTs. Our exemplars, being built on generic platforms, will highlight how DTs can be deployed by the far wider range of communities supported by RIs. Our efforts in dissemination and outreach will be aimed at a broad range of end-users, from RIs who wish to develop DT capabilities through industry, regulatory authorities and healthcare providers to patients and the general public to ensure human DTs meet user requirements and address concerns about reliability, usability and privacy.<\/p>\n<\/div><\/div>\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Sonata 20 2024\/55\/D\/ST6\/02081 Project title: Multimodal Geometric Deep Learning in Medical Image Analysis (MultiGeoMed). Abstract:&nbsp; MultiGeoMed is a cutting-edge, multidisciplinary research project at the intersection of artificial intelligence, medical imaging, and geometric deep learning. The project aims to advance fundamental knowledge in multimodal geometric deep learning \u2014 a rapidly evolving field that explores how different [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":21650,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"class_list":["post-24461","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>National grants - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/projects\/national-grants\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"National grants\" \/>\n<meta property=\"og:description\" content=\"Sonata 20 2024\/55\/D\/ST6\/02081 Project title: Multimodal Geometric Deep Learning in Medical Image Analysis (MultiGeoMed). 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2024\/55\/D\/ST6\/02081\u00a0 <\/a>(2025 \u2013 2027)<\/p>\n<p><a href=\"#Sonata-2023-51-D-NZ7-02596-\">2023\/51\/D\/NZ7\/02596 <\/a>(2024 &#8211; 2027)<\/p>\n<p>&nbsp;<\/p><\/blockquote>\n<h5><!-- wp:spacer {\"height\":\"30px\",\"epAnimationGeneratedClass\":\"edplus_anim-YBwZYN\",\"epGeneratedClass\":\"eplus-wrapper\"} --><\/h5>\n<h5><!-- \/wp:spacer --><\/h5>\n<h6>Preludium:<\/h6>\n<blockquote><p><a href=\"#Preludium-2024-53-N-NZ4-03513\">2024\/53\/N\/NZ4\/03513 <\/a>(2025\u00a0<s>\u2013<\/s>\u00a02027)<\/p>\n<p><a href=\"#Preludium-2023-49-N-ST6-01841\">2023\/49\/N\/ST6\/01841 <\/a>(2024\u00a0<s>\u2013<\/s>\u00a02027)<\/p>\n<p><a href=\"#Preludium-2023-49-N-ST6-04252\">2023\/49\/N\/ST6\/04252<\/a> (2024 \u2013 2025)<\/p>\n<p>&nbsp;<\/p><\/blockquote>\n<h6>Weave-Unisono:<\/h6>\n<blockquote><p><a href=\"#Weave\">2023\/05\/Y\/NZ2\/00080 <\/a>(2024-2028)<\/p><\/blockquote>\n<p><!-- \/wp:list-item --><\/p>\n<p><!-- wp:paragraph 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class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/11\/NCN-logo-en-1024x89.png\" alt=\"\" class=\"wp-image-26735\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/11\/NCN-logo-en-1024x89.png\" alt=\"\" class=\"wp-image-26735\"\/><\/figure>\n"]},{"blockName":"core\/spacer","attrs":{"height":"80px","epAnimationGeneratedClass":"edplus_anim-1I2NyX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:80px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-aWaiZO","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading 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class=\" eplus-wrapper\">Determine which geometric representation provides the most benefit for specific medical imaging tasks.<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Determine which geometric representation provides the most benefit for specific medical imaging tasks.<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-6nmfWx","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Develop strategies to fuse multiple representations for enhanced performance in geometric deep learning models.<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Develop strategies to fuse multiple representations for enhanced performance in geometric deep learning models.<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-E4kFCW","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Create scalable algorithms for 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PhD<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Ex16kT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Duration<\/strong>: 01.10.2025 \u2013 30.09.2028<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Duration<\/strong>: 01.10.2025 \u2013 30.09.2028<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Ex16kT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Amount of Funding<\/strong>: 1 246 840 PLN<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Amount of Funding<\/strong>: 1 246 840 PLN<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-cj41dH","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><a 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class=\"wp-block-heading eplus-wrapper\" id=\"h-sonata-20-2024-55-d-st6-02081-0\"><strong>Sonata 20 2024\/55\/D\/ST6\/02081<\/strong><\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-sonata-20-2024-55-d-st6-02081-0\"><strong>Sonata 20 2024\/55\/D\/ST6\/02081<\/strong><\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-iWFMkX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Ex16kT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project title<\/strong>: Linking Eye Movements and Brain Function to Monitor Stroke-induced Alterations with fMRI&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project title<\/strong>: Linking Eye Movements and Brain Function to Monitor Stroke-induced Alterations with fMRI&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-UjpYmF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:\u202f&nbsp;Ischemic stroke&nbsp;frequently&nbsp;leads to disruptions in eye movements, such as saccadic errors, gaze deficits, and nystagmus. Because the oculomotor system is tightly linked to major brain networks\u2014visual, motor, attention, memory, and language\u2014changes in eye&nbsp;behavior&nbsp;can reflect broader neural dysfunctions. Prior work shows that eye-tracking\u2013based measures can help detect stroke and predict recovery, yet the neural basis of these links&nbsp;remains&nbsp;unclear. This project proposes using&nbsp;rs-fMRI signals from ocular regions to characterize functional alterations after stroke. By applying dimensionality reduction, each patient\u2019s brain activity can be represented in low-dimensional space and compared with healthy controls. Using a large longitudinal dataset of stroke patients, the study will test whether this representation captures long-term recovery, how eye-movement changes relate to functional reorganization, and how treatments influence both brain and ocular metrics. The findings may support future diagnostic and personalized therapeutic strategies.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:\u202f&nbsp;Ischemic stroke&nbsp;frequently&nbsp;leads to disruptions in eye movements, such as saccadic errors, gaze deficits, and nystagmus. Because the oculomotor system is tightly linked to major brain networks\u2014visual, motor, attention, memory, and language\u2014changes in eye&nbsp;behavior&nbsp;can reflect broader neural dysfunctions. Prior work shows that eye-tracking\u2013based measures can help detect stroke and predict recovery, yet the neural basis of these links&nbsp;remains&nbsp;unclear. This project proposes using&nbsp;rs-fMRI signals from ocular regions to characterize functional alterations after stroke. By applying dimensionality reduction, each patient\u2019s brain activity can be represented in low-dimensional space and compared with healthy controls. Using a large longitudinal dataset of stroke patients, the study will test whether this representation captures long-term recovery, how eye-movement changes relate to functional reorganization, and how treatments influence both brain and ocular metrics. The findings may support future diagnostic and personalized therapeutic strategies.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-iWFMkX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Ex16kT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Scientific Leader:<\/strong> <a href=\"https:\/\/sano.science\/people\/cemal-koba\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Cemal Koba<\/strong><\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Scientific Leader:<\/strong> <a href=\"https:\/\/sano.science\/people\/cemal-koba\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Cemal Koba<\/strong><\/a><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Ex16kT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Duration<\/strong>: 01.10.2025 \u2013 30.09.2027&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Duration<\/strong>: 01.10.2025 \u2013 30.09.2027&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-cj41dH","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Amount of Funding<\/strong>:&nbsp;568\u202f520&nbsp;PLN&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Amount of Funding<\/strong>:&nbsp;568\u202f520&nbsp;PLN&nbsp;<\/p>\n"]}],"innerHTML":"\n<div class=\"wp-block-column eplus-wrapper\">\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/div>\n","innerContent":["\n<div class=\"wp-block-column eplus-wrapper\">",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"<\/div>\n"]}],"innerHTML":"<div class=\"wp-block-columns eplus-wrapper eplus-styles-uid-385fb3\" id=\"Sonata-Cemal\"><\/div>","innerContent":["\n<div class=\"wp-block-columns eplus-wrapper\" id=\"Sonata-Cemal\">",null,"<\/div>\n"]},{"blockName":"core\/spacer","attrs":{"height":"60px","epAnimationGeneratedClass":"edplus_anim-Qu0gWY","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/columns","attrs":{"epStylingOptions":{"epCustomColumnsResponsiveEnabled":true,"epCustomColumnsReverseResponsiveEnabled":true,"epCustomColumnsSpacingResponsiveEnabled":true,"epCustomColumns":{"target":"wp-block-column","responsive":true,"hover":false,"options":[{"custom":true,"control":"ColumnToggle"},{"label":"Responsive Columns","control":"Range","attribute":"epCustomColumns","defaults":{"tablet":"2","mobile":"1"},"css":"flex-basis","customValue":"calc(( 100% - 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DFIs can escalate rapidly, often leading to amputation or death, and are increasingly resistant to standard therapies. This interdisciplinary project aims to design and develop biocompatible antimicrobial nanoparticles (BANs) as an innovative solution for treating DFIs and combating AMR. Using AI-guided drug development, green-chemistry-based nanomaterials, and cutting-edge biological models\u2014including patient-derived clinical isolates and human skin organoids\u2014the project seeks to deliver effective and safe therapies.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Antimicrobial resistance (AMR) poses a growing threat to public health, particularly in diabetic patients prone to severe infections such as diabetic foot infections (DFIs). DFIs can escalate rapidly, often leading to amputation or death, and are increasingly resistant to standard therapies. This interdisciplinary project aims to design and develop biocompatible antimicrobial nanoparticles (BANs) as an innovative solution for treating DFIs and combating AMR. Using AI-guided drug development, green-chemistry-based nanomaterials, and cutting-edge biological models\u2014including patient-derived clinical isolates and human skin organoids\u2014the project seeks to deliver effective and safe therapies.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-h6jtQ6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The work is a collaboration between&nbsp;<strong>the \u0141ukasiewicz Research Network \u2013 Krakow Institute of Technology<\/strong>&nbsp;and Sano \u2013 Centre for Computational Personalised Medicine.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The work is a collaboration between&nbsp;<strong>the \u0141ukasiewicz Research Network \u2013 Krakow Institute of Technology<\/strong>&nbsp;and Sano \u2013 Centre for Computational Personalised Medicine.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-h5vVmA","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project Objectives:&nbsp;<\/strong><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project Objectives:&nbsp;<\/strong><\/p>\n"]},{"blockName":"core\/list","attrs":{"ordered":true,"start":1,"epStylingOptions":{"columnsResponsiveEnabled":false,"columnsHoverEnabled":false,"itemsSpacingResponsiveEnabled":false,"itemsSpacingHoverEnabled":false,"listStyleResponsiveEnabled":false,"listStyleHoverEnabled":false,"listIconResponsiveEnabled":false,"listIconHoverEnabled":false,"columns":{"target":"","responsive":true,"hover":true,"options":[{"custom":true,"control":"ToggleOptions"},{"label":"Columns","control":"Range","attribute":"columns","css":"grid-template-columns","customValue":"repeat({{value}}, 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class=\"wp-block-heading eplus-wrapper\" id=\"h-preludium-2023-49-n-st6-01841-nbsp\">Preludium 2023\/49\/N\/ST6\/01841&nbsp;<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-preludium-2023-49-n-st6-01841-nbsp\">Preludium 2023\/49\/N\/ST6\/01841&nbsp;<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-pgmPVV","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-2TvRLx","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Title:&nbsp;<em>Multimodal Deep Learning for&nbsp;<\/em><em>Noninvasive<\/em><em>&nbsp;Pulmonary Hypertension Diagnosis from Magnetic Resonance Imaging<\/em><em><\/em>&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Title:&nbsp;<em>Multimodal Deep Learning for&nbsp;<\/em><em>Noninvasive<\/em><em>&nbsp;Pulmonary Hypertension Diagnosis from Magnetic Resonance Imaging<\/em><em><\/em>&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-4uALlD","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Pulmonary hypertension (PH) is characterized by elevated pressure in the pulmonary artery and affects approximately 1% of adults. The standard diagnostic method\u2014cardiac catheterization\u2014is invasive, expensive, and carries clinical risk. The project focuses on developing non-invasive deep learning techniques for estimating mean pulmonary artery pressure (mPAP) using cardiac MRI data.A dataset comprising multimodal MRI recordings and corresponding clinical information, collected by the University of Sheffield and Sheffield Teaching Hospitals, will be used to train and evaluate predictive models. Initial efforts will involve convolutional and transformer-based architectures applied to single-modality data. In subsequent stages, multimodal learning strategies will be implemented by integrating diverse imaging data and structured patient information. 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In subsequent stages, multimodal learning strategies will be implemented by integrating diverse imaging data and structured patient information. To ensure clinical interpretability, existing explainability tools will be applied and extended.&nbsp;&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-vwy7rh","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project Objectives:&nbsp;<\/strong><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project Objectives:&nbsp;<\/strong><\/p>\n"]},{"blockName":"core\/list","attrs":{"epStylingOptions":{"columnsResponsiveEnabled":false,"columnsHoverEnabled":false,"itemsSpacingResponsiveEnabled":false,"itemsSpacingHoverEnabled":false,"listStyleResponsiveEnabled":false,"listStyleHoverEnabled":false,"listIconResponsiveEnabled":false,"listIconHoverEnabled":false,"columns":{"target":"","responsive":true,"hover":true,"options":[{"custom":true,"control":"ToggleOptions"},{"label":"Columns","control":"Range","attribute":"columns","css":"grid-template-columns","customValue":"repeat({{value}}, 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class=\" eplus-wrapper\">Development of benchmark deep learning models for mPAP prediction based on MRI.&nbsp;<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Development of benchmark deep learning models for mPAP prediction based on MRI.&nbsp;<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-d7ehqj","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Design of multimodal architectures combining various imaging modalities.&nbsp;<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Design of multimodal architectures combining various imaging modalities.&nbsp;<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-OfkJ7M","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Integration of tabular clinical data to enhance prediction accuracy.&nbsp;<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Integration of tabular clinical data to enhance prediction accuracy.&nbsp;<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-ccA0Sf","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Implementation of explainability methods to support clinical interpretability.&nbsp;<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Implementation of explainability methods to support clinical interpretability.&nbsp;<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-Nh1gbl","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Establishment of foundations for fully non-invasive cardiac diagnostics.&nbsp;<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Establishment of foundations for fully non-invasive cardiac diagnostics.&nbsp;<\/li>\n"]}],"innerHTML":"<ul class=\"wp-block-list eplus-wrapper eplus-styles-uid-b49578\">\n\n\n\n\n\n\n\n<\/ul>","innerContent":["\n<ul class=\"wp-block-list eplus-wrapper\">",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"<\/ul>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-I8y9gW","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project Goals:&nbsp;<\/strong><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project Goals:&nbsp;<\/strong><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-vvXaUc","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The project aims to enhance current approaches to PH diagnosis through the utilization of deep learning techniques.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The project aims to enhance current approaches to PH diagnosis through the utilization of deep learning techniques.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-zetimq","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The work is a collaboration between&nbsp;<strong>the&nbsp;<\/strong><strong>Warsaw University of Technology&nbsp;<\/strong>&nbsp;and Sano \u2013 Centre for Computational Personalised Medicine.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The work is a collaboration between&nbsp;<strong>the&nbsp;<\/strong><strong>Warsaw University of Technology&nbsp;<\/strong>&nbsp;and Sano \u2013 Centre for Computational Personalised Medicine.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-R8TV2M","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Duration:<\/strong>&nbsp; 17 January 2024&nbsp;<s>\u2013<\/s>&nbsp;16 January 2027&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Duration:<\/strong>&nbsp; 17 January 2024&nbsp;<s>\u2013<\/s>&nbsp;16 January 2027&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-QF478O","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project lead: <a href=\"https:\/\/sano.science\/people\/michal-grzeszczyk\/\">Micha\u0142 Grzeszczyk<\/a><\/strong>&nbsp;<em>(PhD Student in&nbsp;<a href=\"https:\/\/sano.science\/research-teams\/health-informatics-group-higs\/\" target=\"_blank\" rel=\"noreferrer noopener\">Medical Imaging and Robotics<\/a>)<\/em><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project lead: <a href=\"https:\/\/sano.science\/people\/michal-grzeszczyk\/\">Micha\u0142 Grzeszczyk<\/a><\/strong>&nbsp;<em>(PhD Student in&nbsp;<a href=\"https:\/\/sano.science\/research-teams\/health-informatics-group-higs\/\" target=\"_blank\" rel=\"noreferrer noopener\">Medical Imaging and Robotics<\/a>)<\/em><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-OA1oIO","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Partners\/ List of collaborators:<\/strong>&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Partners\/ List of collaborators:<\/strong>&nbsp;<\/p>\n"]},{"blockName":"core\/list","attrs":{"epStylingOptions":{"columnsResponsiveEnabled":false,"columnsHoverEnabled":false,"itemsSpacingResponsiveEnabled":false,"itemsSpacingHoverEnabled":false,"listStyleResponsiveEnabled":false,"listStyleHoverEnabled":false,"listIconResponsiveEnabled":false,"listIconHoverEnabled":false,"columns":{"target":"","responsive":true,"hover":true,"options":[{"custom":true,"control":"ToggleOptions"},{"label":"Columns","control":"Range","attribute":"columns","css":"grid-template-columns","customValue":"repeat({{value}}, 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class=\" eplus-wrapper\">Optimize preprocessing pipelines for large-scale dMRI datasets of glioma patients.&nbsp;<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Optimize preprocessing pipelines for large-scale dMRI datasets of glioma patients.&nbsp;<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-j3aiBa","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" eplus-wrapper\">Apply advanced tractography techniques, including spherical deconvolution, to improve reconstruction of white matter in peritumoral regions.&nbsp;<\/li>\n","innerContent":["\n<li class=\" eplus-wrapper\">Apply advanced tractography techniques, including spherical deconvolution, to improve reconstruction of white matter in peritumoral regions.&nbsp;<\/li>\n"]},{"blockName":"core\/list-item","attrs":{"epAnimationGeneratedClass":"edplus_anim-SXwptb","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<li class=\" 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class=\"wp-block-heading eplus-wrapper\" id=\"h-preludium-2023-49-n-st6-04252\">Preludium 2023\/49\/N\/ST6\/04252<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-preludium-2023-49-n-st6-04252\">Preludium 2023\/49\/N\/ST6\/04252<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-4rw9ts","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-kQSkBe","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Title:&nbsp;<em>Understanding the influence of variation in venous anatomy on local haemodynamics in patients with deep vein thrombosis of the lower limb: statistical shape modelling approach.&nbsp;<\/em><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Title:&nbsp;<em>Understanding the influence of variation in venous anatomy on local haemodynamics in patients with deep vein thrombosis of the lower limb: statistical shape modelling approach.&nbsp;<\/em><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-v2C3hl","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">This project aims to improve the understanding and prediction of post-thrombotic syndrome (PTS) following deep vein thrombosis (DVT) in the lower limbs by investigating how local venous anatomy influences blood flow patterns associated with thrombus formation. Using a combination of Computational Fluid Dynamics (CFD) and Statistical Shape Models (SSM), the research will analyze both idealized and patient-specific venous geometries derived from medical imaging (CT\/MRI) to identify key anatomical features linked to abnormal haemodynamics, such as low wall shear stress and retrograde flow.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">This project aims to improve the understanding and prediction of post-thrombotic syndrome (PTS) following deep vein thrombosis (DVT) in the lower limbs by investigating how local venous anatomy influences blood flow patterns associated with thrombus formation. Using a combination of Computational Fluid Dynamics (CFD) and Statistical Shape Models (SSM), the research will analyze both idealized and patient-specific venous geometries derived from medical imaging (CT\/MRI) to identify key anatomical features linked to abnormal haemodynamics, such as low wall shear stress and retrograde flow.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Z12Bbz","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The core objective is to determine whether SSMs can efficiently characterize shape-related risk factors and reduce the need for computationally expensive CFD simulations in clinical workflows. 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This novel application of SSM-CFD integration to venous disease has strong potential to enhance clinical decision-making in vascular medicine.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-lKvxCz","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project Goals:&nbsp;&nbsp;<\/strong><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project Goals:&nbsp;&nbsp;<\/strong><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-qAOhDV","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The influence of the diversity of vein anatomy on the local anatomy hemodynamics in patients with venous thrombosis&nbsp; deep lower limb: statistical technician shape modeling.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The influence of the diversity of vein anatomy on the local anatomy hemodynamics in patients with venous thrombosis&nbsp; deep lower limb: statistical technician shape modeling.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-1U9452","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Duration:&nbsp;&nbsp;<\/strong>29 January 2024 \u2013 28 August 2025&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Duration:&nbsp;&nbsp;<\/strong>29 January 2024 \u2013 28 August 2025&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-HhMdzF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project lead: <a href=\"https:\/\/sano.science\/people\/magdalena-otta\/\">Magdalena Otta<\/a><\/strong>&nbsp;<em>(PhD Student in&nbsp;<a href=\"https:\/\/sano.science\/research-teams\/extreme-scale-data-and-computing\/\" target=\"_blank\" rel=\"noreferrer 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style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-BnABji","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-prime-programme-for-research-innovation-and-market-excellence\">PRIME - Programme for Research Innovation and Market Excellence<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-prime-programme-for-research-innovation-and-market-excellence\">PRIME - Programme for Research Innovation and Market Excellence<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-uAkqfa","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-HRMwVd","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">PRIME is the first comprehensive acceleration programme in Poland dedicated to supporting the commercialization of scientific research results. It is implemented by the Foundation for Polish Science in partnership with the UK-based consultancy Oxentia, and funded by the European Funds for a Modern Economy (FENG). The programme aims to shift the perception of science\u2019s role in society\u2014emphasizing the practical application of research and its impact on the market and the economy.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">PRIME is the first comprehensive acceleration programme in Poland dedicated to supporting the commercialization of scientific research results. It is implemented by the Foundation for Polish Science in partnership with the UK-based consultancy Oxentia, and funded by the European Funds for a Modern Economy (FENG). The programme aims to shift the perception of science\u2019s role in society\u2014emphasizing the practical application of research and its impact on the market and the economy.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-yi3av3","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project title<\/strong>: Digital Twin of Blood Flow: CFD for Personalized Treatment Application in&nbsp;Optimizing Deep Vein Thrombosis (DVT) Therapy<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project title<\/strong>: Digital Twin of Blood Flow: CFD for Personalized Treatment Application in&nbsp;Optimizing Deep Vein Thrombosis (DVT) Therapy<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-shSgCb","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>: We have developed a Digital Twin (DT)-based simulation tool that leverages Computational Fluid Dynamics (CFD) to model patient-specific blood flow dynamics. Using medical imaging and clinical data, the tool constructs a virtual model of the patient\u2019s vascular system, providing haemodynamic insights. This enables vascular surgeons to make data-driven, personalized treatment decisions, optimizing DVT&nbsp;management, reducing complications, and improving patient outcomes.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>: We have developed a Digital Twin (DT)-based simulation tool that leverages Computational Fluid Dynamics (CFD) to model patient-specific blood flow dynamics. Using medical imaging and clinical data, the tool constructs a virtual model of the patient\u2019s vascular system, providing haemodynamic insights. This enables vascular surgeons to make data-driven, personalized treatment decisions, optimizing DVT&nbsp;management, reducing complications, and improving patient outcomes.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-a1pXEB","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Scientific Leader<\/strong>:&nbsp;<a href=\"https:\/\/sano.science\/people\/magdalena-otta\/\">Magdalena Otta&nbsp;<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Scientific Leader<\/strong>:&nbsp;<a href=\"https:\/\/sano.science\/people\/magdalena-otta\/\">Magdalena Otta&nbsp;<\/a><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-rrxdkZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Business Leader<\/strong>:&nbsp;<a href=\"https:\/\/sano.science\/people\/katarzyna-baliga-nicholson\/\">Katarzyna Baliga-Nicholson&nbsp;<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Business Leader<\/strong>:&nbsp;<a href=\"https:\/\/sano.science\/people\/katarzyna-baliga-nicholson\/\">Katarzyna Baliga-Nicholson&nbsp;<\/a><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-SscViP","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Technology Transfer Supervisor:<\/strong>&nbsp;<a href=\"https:\/\/sano.science\/people\/dominik-czaplicki\/\">Dominik Czaplicki &nbsp;<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Technology Transfer Supervisor:<\/strong>&nbsp;<a href=\"https:\/\/sano.science\/people\/dominik-czaplicki\/\">Dominik Czaplicki &nbsp;<\/a><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-mEnJ4Q","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Duration of 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0, 0, 0.01)","gradient":"","media":{"backgroundPositionX":"","backgroundPositionY":"","background":[],"backgroundSize":"","backgroundRepeat":"","backgroundAttachment":"","backgroundPlacement":"back"}},"epAnimationGeneratedClass":"edplus_anim-ybtuv6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-fw04q2","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-eurogrants\">Grants for Eurogrants<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-eurogrants\">Grants for Eurogrants<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"40px","epAnimationGeneratedClass":"edplus_anim-PQXiKZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-l7jbTj","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">We are implementing the project&nbsp;<em>Alliance for an Ultra-High Fidelity Extended Reality CARDIAC Surgery Simulator &amp; Skills Cooperation<\/em>&nbsp;under Action 2.12 of the FENG Programme \u2013&nbsp;<em>Grants for Eurogrants<\/em>.<br>The project concerns obtaining funding from the Polish Agency for Enterprise Development (PARP) for the preparation of an application for a Eurogrant under the ERASMUS2027 programme, in the&nbsp;<em>Partnerships for Innovation \u2013 Alliances<\/em>&nbsp;call:&nbsp;<em>ERASMUS-EDU-2025-PI-ALL-INNO-EDU-ENTERP<\/em>.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">We are implementing the project&nbsp;<em>Alliance for an Ultra-High Fidelity Extended Reality CARDIAC Surgery Simulator &amp; Skills Cooperation<\/em>&nbsp;under Action 2.12 of the FENG Programme \u2013&nbsp;<em>Grants for Eurogrants<\/em>.<br>The project concerns obtaining funding from the Polish Agency for Enterprise Development (PARP) for the preparation of an application for a Eurogrant under the ERASMUS2027 programme, in the&nbsp;<em>Partnerships for Innovation \u2013 Alliances<\/em>&nbsp;call:&nbsp;<em>ERASMUS-EDU-2025-PI-ALL-INNO-EDU-ENTERP<\/em>.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-EYDVsl","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Sano was a partner in an interdisciplinary consortium of nine entities representing European universities, hospitals, and private companies. The proposal received the required number of evaluation points; however, it was not invited to the grant agreement stage due to budget allocation limits.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Sano was a partner in an interdisciplinary consortium of nine entities representing European universities, hospitals, and private companies. The proposal received the required number of evaluation points; however, it was not invited to the grant agreement stage due to budget allocation limits.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-qXkWqk","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The Eurogrant focused on developing cardiac surgery skills through the creation of an innovative simulator using AI and XR technologies, including biomechanical heart models, hand and instrument tracking systems, and blood flow simulation. The project aimed to test and deploy the simulator in 10 centers and to train 300 surgeons.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The Eurogrant focused on developing cardiac surgery skills through the creation of an innovative simulator using AI and XR technologies, including biomechanical heart models, hand and instrument tracking systems, and blood flow simulation. The project aimed to test and deploy the simulator in 10 centers and to train 300 surgeons.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-AubgJE","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project objective:<\/strong>&nbsp;to prepare and submit a Eurogrant application, increase the chances of obtaining funding, and enhance Sano\u2019s recognition in the international research community.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project objective:<\/strong>&nbsp;to prepare and submit a Eurogrant application, increase the chances of obtaining funding, and enhance Sano\u2019s recognition in the international research community.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-TUwIZd","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Planned results of the \u201cGrants for Eurogrants\u201d project:<\/strong>&nbsp;the funding will cover the costs related to the preparation of the Eurogrant application, including personnel expenses. The key outcomes are the submission of a proposal to the European Commission and the strengthening of Sano\u2019s international collaboration network.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Planned results of the \u201cGrants for Eurogrants\u201d project:<\/strong>&nbsp;the funding will cover the costs related to the preparation of the Eurogrant application, including personnel expenses. The key outcomes are the submission of a proposal to the European Commission and the strengthening of Sano\u2019s international collaboration network.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-l7jbTj","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Total project value:<\/strong>&nbsp;41,000 PLN<br><strong>European Funds contribution:<\/strong>&nbsp;41,000 PLN<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Total project value:<\/strong>&nbsp;41,000 PLN<br><strong>European Funds contribution:<\/strong>&nbsp;41,000 PLN<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-fc9n5h","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>#FunduszeUE #FunduszeEuropejskie<\/strong><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>#FunduszeUE #FunduszeEuropejskie<\/strong><\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-9irqtk","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"id":26544,"width":"727px","height":"auto","sizeSlug":"large","linkDestination":"none","align":"center","epAnimationGeneratedClass":"edplus_anim-q0FTXz","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image aligncenter size-large is-resized eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-1024x136.png\" alt=\"\" class=\"wp-image-26544\" style=\"width:727px;height:auto\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image aligncenter size-large is-resized eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-1024x136.png\" alt=\"\" class=\"wp-image-26544\" style=\"width:727px;height:auto\"\/><\/figure>\n"]}],"innerHTML":"<div class=\"wp-block-column eplus-wrapper eplus-styles-uid-0506e6\" id=\"Grants-for-Eurogrants\">\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/div>","innerContent":["\n<div class=\"wp-block-column eplus-wrapper\" id=\"Grants-for-Eurogrants\">",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"<\/div>\n"]}],"innerHTML":"<div class=\"wp-block-columns eplus-wrapper eplus-styles-uid-f96a6b\"><\/div>","innerContent":["\n<div class=\"wp-block-columns eplus-wrapper\">",null,"<\/div>\n"]},{"blockName":"core\/spacer","attrs":{"epAnimationGeneratedClass":"edplus_anim-WTNBjT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/columns","attrs":{"epStylingOptions":{"epCustomColumnsResponsiveEnabled":true,"epCustomColumnsReverseResponsiveEnabled":true,"epCustomColumnsSpacingResponsiveEnabled":true,"epCustomColumns":{"target":"wp-block-column","responsive":true,"hover":false,"options":[{"custom":true,"control":"ColumnToggle"},{"label":"Responsive Columns","control":"Range","attribute":"epCustomColumns","defaults":{"tablet":"2","mobile":"1"},"css":"flex-basis","customValue":"calc(( 100% - 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ProspectAI<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-grants-prospectai\">Grants for Grants - ProspectAI<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-LUqwEY","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-BZLVvt","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">T<strong>ype of Budgetary Grant<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe),\u201d supporting activities related to the preparation of a project proposal for a European Union research programme, carried out by the Institution and described in application no. ID&nbsp;627439&nbsp;&nbsp;(PROSPECTAI)<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">T<strong>ype of Budgetary Grant<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe),\u201d supporting activities related to the preparation of a project proposal for a European Union research programme, carried out by the Institution and described in application no. ID&nbsp;627439&nbsp;&nbsp;(PROSPECTAI)<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-aK8aqk","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project Proposal Title<\/strong>:&nbsp;Prospect early drug discovery with artificial intelligence - a Portuguese &amp; Polish HUB<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project Proposal Title<\/strong>:&nbsp;Prospect early drug discovery with artificial intelligence - a Portuguese &amp; Polish HUB<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-kD4P3h","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Granted Financial Support<\/strong>: PLN&nbsp;3 113,18<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Granted Financial Support<\/strong>: PLN&nbsp;3 113,18<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-TXRODp","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Date of Contract Signature<\/strong>: 16.05.2025<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Date of Contract Signature<\/strong>: 16.05.2025<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-FvfkCK","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Contract Number<\/strong>: AGREEMENT No.&nbsp;6023\/GGPJ6-22\/HEUROPA\/0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Contract Number<\/strong>: AGREEMENT No.&nbsp;6023\/GGPJ6-22\/HEUROPA\/0<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-BZLVvt","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:&nbsp;&nbsp;PROSPECTAI aims to create an Excellence Hub on Artificial Intelligence (AI) in early Drug Discovery by leveraging the complementary ecosystems and capacities of two regions in Widening Countries - Lisbon and Tagus Valley (LTV) region, in Portugal, and Malopolska region, in Poland. PROSPECTAI will combine the best biology from the LTV region with the best computation from the Malopolska region. The convergence of these fields allows us to think about complex questions surrounding disease biology and drug discovery in a way that previously wouldn\u2019t have been possible. We are now at a place where computational techniques can drive research and experimentation rather than simply being tools for routine data analysis. The project will seamlessly articulate the efforts of leading scientists, emerging start-ups and SMEs, policy makers and societal actors from both ecosystems and utilize core complementary scientific and technology strengths in biobanking, multiomics, computational biology, machine learning and AI to accelerate the discovery of novel therapeutic targets and the development of new therapies. Over the next five years, this international collaboration will develop a platform that will promote the discovery of new druggable targets to be transformed into therapeutic programs and further developed by Start-Ups, SMEs, Mid-Caps and Industry, improving the rate at which new scientific discoveries translate into novel treatments. PROSPECTAI will stimulate the participation and empowerment of citizens and patients in early drug discovery efforts to deliver the promise of true precision and personalised medicine in the future.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:&nbsp;&nbsp;PROSPECTAI aims to create an Excellence Hub on Artificial Intelligence (AI) in early Drug Discovery by leveraging the complementary ecosystems and capacities of two regions in Widening Countries - Lisbon and Tagus Valley (LTV) region, in Portugal, and Malopolska region, in Poland. PROSPECTAI will combine the best biology from the LTV region with the best computation from the Malopolska region. The convergence of these fields allows us to think about complex questions surrounding disease biology and drug discovery in a way that previously wouldn\u2019t have been possible. We are now at a place where computational techniques can drive research and experimentation rather than simply being tools for routine data analysis. The project will seamlessly articulate the efforts of leading scientists, emerging start-ups and SMEs, policy makers and societal actors from both ecosystems and utilize core complementary scientific and technology strengths in biobanking, multiomics, computational biology, machine learning and AI to accelerate the discovery of novel therapeutic targets and the development of new therapies. Over the next five years, this international collaboration will develop a platform that will promote the discovery of new druggable targets to be transformed into therapeutic programs and further developed by Start-Ups, SMEs, Mid-Caps and Industry, improving the rate at which new scientific discoveries translate into novel treatments. PROSPECTAI will stimulate the participation and empowerment of citizens and patients in early drug discovery efforts to deliver the promise of true precision and personalised medicine in the future.<\/p>\n"]}],"innerHTML":"<div class=\"wp-block-column eplus-wrapper eplus-styles-uid-98a4b2\" id=\"ProspectAI\">\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/div>","innerContent":["\n<div class=\"wp-block-column eplus-wrapper\" id=\"ProspectAI\">",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"<\/div>\n"]}],"innerHTML":"<div class=\"wp-block-columns eplus-wrapper eplus-styles-uid-c595a5\"><\/div>","innerContent":["\n<div class=\"wp-block-columns eplus-wrapper\">",null,"<\/div>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-WTNBjT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/columns","attrs":{"epStylingOptions":{"epCustomColumnsResponsiveEnabled":true,"epCustomColumnsReverseResponsiveEnabled":true,"epCustomColumnsSpacingResponsiveEnabled":true,"epCustomColumns":{"target":"wp-block-column","responsive":true,"hover":false,"options":[{"custom":true,"control":"ColumnToggle"},{"label":"Responsive Columns","control":"Range","attribute":"epCustomColumns","defaults":{"tablet":"2","mobile":"1"},"css":"flex-basis","customValue":"calc(( 100% - 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NeoSolution<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-grants-neosolution\">Grants for Grants - NeoSolution<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-LUqwEY","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-BZLVvt","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Type of Budgetary Grant<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe),\u201d supporting activities related to the preparation of a project proposal for a European Union research programme, carried out by the Institution and described in application no. ID 627458 (acronym: NEU SOLUTION).<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Type of Budgetary Grant<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe),\u201d supporting activities related to the preparation of a project proposal for a European Union research programme, carried out by the Institution and described in application no. ID 627458 (acronym: NEU SOLUTION).<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-UHONiz","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project Proposal Title<\/strong>: \"European Centre of Excellence in the Longitudinal Approach to Prognosis, Treatment, and Rehabilitation of Non-Traumatic Brain Disorders (Work Package WP2),\" submitted under the European Union Research Programme \u2013 Horizon Europe Framework Programme.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project Proposal Title<\/strong>: \"European Centre of Excellence in the Longitudinal Approach to Prognosis, Treatment, and Rehabilitation of Non-Traumatic Brain Disorders (Work Package WP2),\" submitted under the European Union Research Programme \u2013 Horizon Europe Framework Programme.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-c28lkn","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Granted Financial Support<\/strong>: PLN 15,000<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Granted Financial Support<\/strong>: PLN 15,000<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-vE9y0K","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Date of Contract Signature<\/strong>: June 3, 2025<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Date of Contract Signature<\/strong>: June 3, 2025<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-BZLVvt","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Contract Number<\/strong>: AGREEMENT No. 6067\/GGPJ6\u201322\/HEUROPA\/01<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Contract Number<\/strong>: AGREEMENT No. 6067\/GGPJ6\u201322\/HEUROPA\/01<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-BZLVvt","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:&nbsp; NEU SOLUTION aims to establish a network of excellence hubs across Europe, focusing on personalised diagnosis and treatment of non communicable neurological disorders (nNCDs) based on a cognitive neuroscience approach. The project will use stroke as a case study, capitalising on the potential for transferring diagnostic and therapeutic advances from one disease context to another. This effort will initially utilise existing scientific groundwork and extensive databases to enhance diagnostic and treatment protocols for stroke survivors, intending to extend these methodologies to other nervous system ailments, including neurodegenerative diseases and consciousness disorders from traumatic brain injuries. At its core, the project will form a quadruple helix consortium to integrate efforts across research, clinical practice, industry, and community stakeholders, driving innovation in nNCDs management. Building on multiple large scale grants already realised, the consortium aims to develop analytical tools for predicting individualised disease trajectories for personalised therapy and to establish remotely-controlled, neuroscientific-based intervention protocols via telemedicine. Strategically, the project will develop excellence hubs in Poland, Portugal, Malta, and a mentoring scheme in Serbia. Each of these with a designated focus ranging from clinical products to national data stewardship and emerging research capacitation. These hubs will work collaboratively to formulate a unified long-term research and innovation (R&amp;I) strategy that encompasses data stewardship and analysis for utilising large biomedical datasets effectively in clinical and research settings. The overarching goal is to foster knowledge transfer between academia and industry, enhancing treatment and rehabilitation processes for brain disorders, and to create resources that facilitate the translation of knowledge into practical value through skill development, networking, and the creation of startups<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Abstract<\/strong>:&nbsp; NEU SOLUTION aims to establish a network of excellence hubs across Europe, focusing on personalised diagnosis and treatment of non communicable neurological disorders (nNCDs) based on a cognitive neuroscience approach. The project will use stroke as a case study, capitalising on the potential for transferring diagnostic and therapeutic advances from one disease context to another. This effort will initially utilise existing scientific groundwork and extensive databases to enhance diagnostic and treatment protocols for stroke survivors, intending to extend these methodologies to other nervous system ailments, including neurodegenerative diseases and consciousness disorders from traumatic brain injuries. At its core, the project will form a quadruple helix consortium to integrate efforts across research, clinical practice, industry, and community stakeholders, driving innovation in nNCDs management. Building on multiple large scale grants already realised, the consortium aims to develop analytical tools for predicting individualised disease trajectories for personalised therapy and to establish remotely-controlled, neuroscientific-based intervention protocols via telemedicine. Strategically, the project will develop excellence hubs in Poland, Portugal, Malta, and a mentoring scheme in Serbia. Each of these with a designated focus ranging from clinical products to national data stewardship and emerging research capacitation. These hubs will work collaboratively to formulate a unified long-term research and innovation (R&amp;I) strategy that encompasses data stewardship and analysis for utilising large biomedical datasets effectively in clinical and research settings. The overarching goal is to foster knowledge transfer between academia and industry, enhancing treatment and rehabilitation processes for brain disorders, and to create resources that facilitate the translation of knowledge into practical value through skill development, networking, and the creation of startups<\/p>\n"]}],"innerHTML":"<div class=\"wp-block-column eplus-wrapper eplus-styles-uid-98a4b2\" id=\"NeoSolution\">\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/div>","innerContent":["\n<div class=\"wp-block-column eplus-wrapper\" id=\"NeoSolution\">",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"<\/div>\n"]}],"innerHTML":"<div class=\"wp-block-columns eplus-wrapper eplus-styles-uid-8155bd\"><\/div>","innerContent":["\n<div class=\"wp-block-columns eplus-wrapper\">",null,"<\/div>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-Q99Weg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/columns","attrs":{"epStylingOptions":{"epCustomColumnsResponsiveEnabled":true,"epCustomColumnsReverseResponsiveEnabled":true,"epCustomColumnsSpacingResponsiveEnabled":true,"epCustomColumns":{"target":"wp-block-column","responsive":true,"hover":false,"options":[{"custom":true,"control":"ColumnToggle"},{"label":"Responsive Columns","control":"Range","attribute":"epCustomColumns","defaults":{"tablet":"2","mobile":"1"},"css":"flex-basis","customValue":"calc(( 100% - ({{Range:epCustomColumnsSpacing:auto:0px}} * ({{value}} - 1))) \/ {{value}}) !important","props":{"max":6,"min":1,"supportedUnits":[]},"condition":{"query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-column"},[{"relation":"OR","query":[{"field":"viewport","compare":"EQUAL","value":"tablet"},{"field":"viewport","compare":"EQUAL","value":"mobile"}]}]]}}]},"epCustomColumnsReverse":{"target":"","responsive":true,"hover":false,"options":[{"label":"Columns Order","control":"ButtonGroup","attribute":"epCustomColumnsReverse","css":"flex-direction","customValue":"{{value}}","condition":{"relation":"AND","query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-column"},[{"relation":"OR","query":[[{"relation":"AND","query":[{"field":"attributes.epCustomColumns.mobile","controlledBy":"Range","compare":"IN","value":"1"},{"field":"viewport","compare":"EQUAL","value":"mobile"}]}],[{"relation":"AND","query":[{"field":"attributes.epCustomColumns.tablet","controlledBy":"Range","compare":"IN","value":"1"},{"field":"viewport","compare":"EQUAL","value":"tablet"}]}]]}]]},"defaults":{"tablet":"column","mobile":"column"},"props":{"layout":"stacked","options":[{"label":"Default","value":"column"},{"label":"Reverse","value":"column-reverse"}]}}]},"epCustomColumnsSpacing":{"target":"","responsive":true,"hover":false,"options":[{"label":"Columns Gap","control":"Range","attribute":"epCustomColumnsSpacing","defaults":{"desktop":"32px","tablet":"32px","mobile":"32px"},"css":"gap","props":{"max":100,"min":0,"supportedUnits":["px"]},"condition":{"query":[{"field":"attributes.className","compare":"IN","value":"ep-custom-column"}]}}]},"savedStyling":"","clientId":"64cda087-8557-47f9-abff-fb1dc04fcf36"},"epCustomColumns":{"desktop":{"value":"","important":false,"unit":"%"},"tablet":{"value":2,"important":false,"unit":""},"tabletModified":true,"mobile":{"value":1,"important":false,"unit":""},"mobileModified":true},"epCustomColumnsSpacing":{"desktop":{"value":32,"important":false,"unit":"px"},"tablet":{"value":32,"important":false,"unit":"px"},"tabletModified":true,"mobile":{"value":32,"important":false,"unit":"px"},"mobileModified":true},"epCustomColumnsReverse":{"desktop":"","tablet":"column","tabletModified":true,"mobile":"column","mobileModified":true},"epAnimationGeneratedClass":"edplus_anim-CAkvoN","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[{"blockName":"core\/column","attrs":{"epCustomPadding":{"value":{"top":"","right":"5","bottom":"","left":"5"},"unit":"%","important":false},"epAnimationGeneratedClass":"edplus_anim-37LBJY","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-jBcnkn","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-grants-biotwinxr\">Grants for Grants - BioTwinXR<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-grants-for-grants-biotwinxr\">Grants for Grants - BioTwinXR<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-BlC59z","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-3RLkxf","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Type of budget subsidy<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe)\u201d, related to the preparation of a project proposal for the European Union research programme, carried out by the Entity and described in application no. ID 627440 (acronym: BioTwinXR).<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Type of budget subsidy<\/strong>: Initiative of the Minister of Education and Science titled \u201cGrants for Grants \u2013 Promotion of Quality IV (Horizon Europe)\u201d, related to the preparation of a project proposal for the European Union research programme, carried out by the Entity and described in application no. ID 627440 (acronym: BioTwinXR).<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-1s1Ltq","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Project proposal titled<\/strong> \u201cBiomedical Digital Twins Enhanced with Extended Reality (Work Package 5: Applications of Extended Reality - Enhanced Virtual Human Twins)\u201d, submitted under the European Union research programme \u2013 Horizon Europe Framework Programme, Pillar: Excellent Science.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Project proposal titled<\/strong> \u201cBiomedical Digital Twins Enhanced with Extended Reality (Work Package 5: Applications of Extended Reality - Enhanced Virtual Human Twins)\u201d, submitted under the European Union research programme \u2013 Horizon Europe Framework Programme, Pillar: Excellent Science.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-5HzUv6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Awarded funding<\/strong>: 12,361.23 PLN<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Awarded funding<\/strong>: 12,361.23 PLN<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-G3QL11","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Date of agreement signing<\/strong>: April 15, 2025<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Date of agreement signing<\/strong>: April 15, 2025<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-FYCmjp","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Agreement number<\/strong>: AGREEMENT no. 6024\/GGPJ6-22\/HEUROPA\/01<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Agreement number<\/strong>: AGREEMENT no. 6024\/GGPJ6-22\/HEUROPA\/01<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-3RLkxf","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>English Summary<\/strong>:&nbsp;Combining digital twins (DTs) with extended reality visualisation has the potential to revolutionise many working practices, particularly in biomedicine. The global DT market is expected to grow to nearly $50 billion by 2026. To stay competitive, European Research Infrastructures (RIs) need support to be able to integrate the deployment of DTs into the services they provide their communities, irrespective of their domains of interest. Our strategy in BioTwinXR is to empower RIs to do so, providing flexible DT tools for extended reality, validation, verification and uncertainty quantification, and infrastructure integration. BioTwinXR particularly targets the biomedical domain where an individualised DT may be used as a clinical decision support tool for that person in a specific healthcare scenario. We will develop a set of exemplars addressing disease cases pertaining to 75% of all deaths in Europe including cardiovascular disease, cancer, and respiratory infections. Successful deployment of these DTs is expected to lead to significant healthcare cost savings by diminution of ineffective treatments, improved therapies and lives saved through personalised interventions. Extended reality has a crucial role to play in enhancing the impact of these DTs by permitting doctors and patients to experience interactive and immersive engagement with the complex numerical models underpinning them. It will substantially increase the scope for education, training and therapy planning in the use of DTs. Our exemplars, being built on generic platforms, will highlight how DTs can be deployed by the far wider range of communities supported by RIs. Our efforts in dissemination and outreach will be aimed at a broad range of end-users, from RIs who wish to develop DT capabilities through industry, regulatory authorities and healthcare providers to patients and the general public to ensure human DTs meet user requirements and address concerns about reliability, usability and privacy.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>English Summary<\/strong>:&nbsp;Combining digital twins (DTs) with extended reality visualisation has the potential to revolutionise many working practices, particularly in biomedicine. The global DT market is expected to grow to nearly $50 billion by 2026. To stay competitive, European Research Infrastructures (RIs) need support to be able to integrate the deployment of DTs into the services they provide their communities, irrespective of their domains of interest. Our strategy in BioTwinXR is to empower RIs to do so, providing flexible DT tools for extended reality, validation, verification and uncertainty quantification, and infrastructure integration. BioTwinXR particularly targets the biomedical domain where an individualised DT may be used as a clinical decision support tool for that person in a specific healthcare scenario. We will develop a set of exemplars addressing disease cases pertaining to 75% of all deaths in Europe including cardiovascular disease, cancer, and respiratory infections. Successful deployment of these DTs is expected to lead to significant healthcare cost savings by diminution of ineffective treatments, improved therapies and lives saved through personalised interventions. Extended reality has a crucial role to play in enhancing the impact of these DTs by permitting doctors and patients to experience interactive and immersive engagement with the complex numerical models underpinning them. It will substantially increase the scope for education, training and therapy planning in the use of DTs. Our exemplars, being built on generic platforms, will highlight how DTs can be deployed by the far wider range of communities supported by RIs. Our efforts in dissemination and outreach will be aimed at a broad range of end-users, from RIs who wish to develop DT capabilities through industry, regulatory authorities and healthcare providers to patients and the general public to ensure human DTs meet user requirements and address concerns about reliability, usability and privacy.<\/p>\n"]}],"innerHTML":"<div class=\"wp-block-column eplus-wrapper eplus-styles-uid-98a4b2\" id=\"BioTwinXR\">\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/div>","innerContent":["\n<div class=\"wp-block-column eplus-wrapper\" id=\"BioTwinXR\">",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"\n\n",null,"<\/div>\n"]}],"innerHTML":"<div class=\"wp-block-columns eplus-wrapper eplus-styles-uid-3c49b2\"><\/div>","innerContent":["\n<div class=\"wp-block-columns eplus-wrapper\">",null,"<\/div>\n"]},{"blockName":"core\/spacer","attrs":{"epAnimationGeneratedClass":"edplus_anim-WWP4T2","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]}],"meta_data":{"container":"conventional","page_theme":"default","is_default_title_hidden":false,"page_header":{"":null,"is_default_title_content":true,"custom_title":"","description":"","theme":"without-image","has_color_pattern":true,"first_color_of_pattern":"rgba(46, 38, 101, 0.85)","second_color_of_pattern":"rgba(46, 38, 101, 1)","background_color":"","texts_color":""}},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/pages\/24461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/comments?post=24461"}],"version-history":[{"count":372,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/pages\/24461\/revisions"}],"predecessor-version":[{"id":26913,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/pages\/24461\/revisions\/26913"}],"up":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/pages\/21650"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=24461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}