International Grants

Gaia AI

Gaia AI Factory is an initiative aimed at establishing an infrastructure and innovation ecosystem that supports the development of advanced artificial intelligence technologies aligned with European principles of trust, transparency, and responsibility. The project fosters collaboration between academia, industry, and the public sector while promoting the ethical and responsible development of AI solutions.

The initiative combines state-of-the-art computing infrastructure, including supercomputers and access to large-scale data repositories, with a comprehensive competence framework comprising training programmes, advisory services, and talent development activities in artificial intelligence.

Gaia AI Factory provides tools supporting the entire AI lifecycle—from data preparation and processing to model training, deployment, and operation. Its infrastructure is designed to accelerate innovation and digital transformation in key sectors such as healthcare, public administration, education, the environment, and the economy.

The Polish AI Factory is set to become a national centre of excellence, offering cutting-edge infrastructure and computing capabilities for the large-scale development, testing, and deployment of AI solutions. The project is being implemented with the support of the Ministry of Science and Higher Education, the Ministry of Digital Affairs, the Ministry of Finance, and the Ministry of Development and Technology.

The consortium, coordinated by ACK Cyfronet AGH, brings together leading research institutions, experts, and technology partners representing key stakeholders of Poland’s AI ecosystem.
Partners/ List of collaborators:

  1. AGH University of Krakow, Department 1: Academic Computer Centre Cyfronet AGH (Cyfronet) – Coordinator; Department 2: Faculty of Space Technologies (AGH WTK) – Coordinator
  2. Wroclaw University of Science and Technology, Wrocław Centre for Networking and Supercomputing (WCSS)
  3. Gdansk University of Technology, Centre of Informatics Tricity Academic Supercomputer and network (CI TASK)
  4. National Centre for Nuclear Research (NCBJ) Poland
  5. University of Warsaw, Interdisciplinary Centre for Mathematical and Computational Modelling (ICM UW)
  6. NASK National Research Institute (NASK) Poland
  7. National Information Processing Institute (OPI) Poland
  8. Sano – Centre for Computational Personalised Medicine – International Research Foundation (SANO)
  9. Jagiellonian University, Malopolska Centre of Biotechnology (MCB UJ) Poland
  10. Institute of Mother and Child (IMiD) Poland
  11. Krakow Technology Park (KPT)

Duration: 1 May 2026 – 30 April 2029

Gaia AI project website: https://gaia.plgrid.pl/

CEREBRIS

Sano is a technical and research contributor to CEREBRIS, supporting the integration, analysis and interpretation of multimodal stroke data and the development of the project’s digital platform.

Its contribution includes multimodal data integration, platform and functional requirements, information flows, clinician- and patient-facing interfaces, and the presentation of complex results to different user groups. Sano also contributes to digital biomarker development, model-based analysis and the design and testing of a simulated federated-learning environment.

Sano brings expertise in computational medicine, AI, biomedical data analysis, interoperability, modelling and simulation, high-performance computing, digital platforms and human-centred technology development. It also contributes experience in translating advanced research into practical and interpretable tools for clinical and research use.

Sano transforms fragmented stroke data into connected, interpretable intelligence that supports more personalised, evidence-driven care. Through this work, Sano helps CEREBRIS connect imaging, EEG, movement, clinical and patient-reported data within one coherent framework, supporting better analysis of stroke recovery and strengthening clinical interpretation.

Duration: May 2026 – April 2030 

CEREBRIS project website: https://www.cerebris.eu

Project Partners:

  • University of Bath – Coordinator
  • University College Dublin
  • University of Oslo
  • AIBILI – Associação para Investigação Biomédica e Inovação em Luz e Imagem
  • Sano Centre for Computational Medicine
  • Icometrix NV
  • Stroke Alliance ForEurope
  • Vidavo S.A
  • KATHOLIEKE UNIVERSITEIT LEUVEN
  • UNIVERSITAETSKLINIKUM HAMBURG-EPPENDORF
  • Wise Angle Consulting SL
  • G.TEC MEDICAL ENGINEERING GMBH
  • UNIVERSITAT ZURICH
  • Lake Lucerne Institute

Funding Institutions: EIC – European Innovation Council, European Innovation Council and SMEs Executive Agency (EISMEA), EU Science, Research and Innovation. CEREBRIS is funded by the European Innovation Council fund established under the European Union’s Horizon Europe Framework Programme under Grant Agreement No. 101257536

InSilicoHealth

InSilicoHealth is a European doctoral training programme that combines virtual human twin research, interdisciplinary education, and industry collaboration to address healthy aging—while critically exploring the ethical and societal dimensions of digital health innovation.

Duration:  1 January 2025 – 31 December 2029

Project lead: Maciej Malawski (Extreme-scale Data and Computing)

Coordinated by: KATHOLIEKE UNIVERSITEIT LEUVEN

GEMINI

GEMINI is a project which promises to save lives and enhance the well-being of stroke patients, as it aims at improving diagnosis and treatment for acute ischaemic and haemorrhagic stroke.
This aim will be achieved by developing patient-specific decision-making tools and well-established models that can accurately assist in the diagnosis and stratification of stroke patients for tailored treatments.
Multi-organ and multi-scale Digital Twins models will be developed to improve our understanding of and support personalised treatment selection for this severe condition.

Work package:

Sano is responsible for quality assurance (QA) and ensuring proper verification and validation of software that encapsulates computational models of various types of strokes. For Sano, it is a third EC-funded project, along with the ongoing In Silico World and NearData projects. 

GEMINI project website: dth-gemini.eu

Duration: 01.12.2023 – 30.11.2029 

Project lead: Marian Bubak (Scientific Affairs Director)

Partners/ List of collaborators:

  • National Taiwan University (TW)
  • Academisch Medisch Centrum Bij de Universiteit van Amsterdam (AMC) – Coordinator (NL)
  • AMC Medical Research BV (NL)
  • University of Amsterdam (NL)
  • Erasmus Universitair Medisch Center Rotterdam (NL)
  • Politecnico di Milano (IT)
  • Neuravi Limited (IE)
  • National University of Ireland Galway (IE)
  • Universidad Pompeu Fabra (ES)
  • Budapesti Műszaki és Gazdaságtudományi Egyetem (HU)
  • Ansys France SAS (FR)
  • Sano – Centrum Zindywidualizowanej Medycyny Obliczeniowej – Międzynarodowa Fundacja Badawcza (PL)
  • Rheinische Friedrich-Wilhelms-Universität Bonn (DE)
  • Insteps BV (NL)
  • Nico-Lab BV (NL)
  • Sim&Cure (FR)
  • Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie (PL)
  • Les Hôpitaux Universitaires de Genève (CH)
  • Zürcher Hochschule für Angewandte Wissenschaften (CH)

ThromboRisk 

MSCA Doctoral Networks 

 “Thrombosis, an occlusive clot underlying ischemic stroke, myocardial infarction and venous thrombosis, causes a quarter of global deaths, with incidence rising due to aging and cardiovascular disease. Limited understanding of clot formation and rupture hinders patient-specific prognosis, and current treatments still face recurrence and unclear effects on fragmentation. Effective prediction requires integrating multi-scale knowledge using in silico, in vitro and in vivo tools, yet few experts can build such holistic models. ThromboRisk will train 18 doctoral candidates across mechanobiology, biochemistry, pathophysiology and modeling in an international consortium to create platforms linking micro-level clot processes to macro-level clinical outcomes. Using Challenge-Based Learning, DCs will tackle complex real-world problems with supervisors and stakeholders, fostering creativity, innovation and societal impact. 

Sano will train 2 PhD students: 1. The role of musculoskeletal system and respiration on deep vein thrombosis – modelling lower limb haemodynamics; 2. AI-enhanced efficient sensitivity analysis and uncertainty quantification in multi-scale modelling.  

Thromborisk

Duration: 1.02.2026 – 31.01.2030 

Project led: Maciej Malawski  

Coordinator: TECHNISCHE UNIVERSITEIT EINDHOVEN 

Participants: https://cordis.europa.eu/project/id/101227706 

  • Charité – Universitätsmedizin Berlin (Germany) 
  • Katholieke Universiteit Leuven (Belgium) 
  • Universitatea Transilvania din Brasov (Romania)
  • Universiteit Maastricht (Netherlands) 
  • Universiteit van Amsterdam (Netherlands) 
  • University College London (United Kingdom) 
  • University of Leeds (United Kingdom) 

Ammount of funding: € 4 436 514,36 (Sano: € 502 301,52) 

NEARDATA 

The goal of  NEARDATA  is to create an extreme data infrastructure mediating data flows between Object Storage and Data Analytics platforms across the Compute Continuum. Novel XtremeDataHub platform is an intermediary data service that intercepts and optimises data flows (S3 API, stream APIs) with high performance near-data connectors (Cloud/Edge). 

  Sano Team is responsible for:

  • Developing a pipeline for building transcriptomics atlas of selected tissues/diseases, with the use of HPC and Cloud technologies;
  • Federated Learning framework – a set of tools for running Federated Learning experiments on large scale genomics data.

NEARDATA  project website:  https://neardata.eu/ 

Duration: 01 January 2023 – 31 December 2025 

Project lead: Maciej Malawski (Extreme-scale Data and Computing)

Partners/ List of collaborators:

  • UK Health Security Agency (UK)
  • Universitat Rovira i Virgili (ES) – Coordinator
  • Barcelona Supercomputing Center (ES)
  • Technische Universität Dresden (DE)
  • Deutsches Krebsforschungszentrum Heidelberg (DE)
  • European Molecular Biology Laboratory (DE)
  • EMC Information Systems International Unlimited Company (IE)
  • KIO Networks España SA (ES)
  • Sano Centre for Computational Medicine (PL)
  • Scontain GMBH (DE)

In Silico World (ISW) 

The In Silico World project aims at accelerating the uptake of modelling and simulation technologies used for the development and regulatory assessment of medicines and medical devices, by lowering seven identified barriers: development, validation, accreditation, optimisation, exploitation, information, and training. 

This initiative employs computer models that leverage experimental data for hypothesis testing and outcome prediction. 

Work package:

Scalability and efficient computing (WP5 led by Sano)

This package focuses on creating a sophisticated, user-friendly simulation platform that ensures the repeatability, replicability, and reproducibility of simulation outcomes. It also aims to facilitate efficient access and utilization of computational and storage capacities, both locally and within major European e-infrastructures like PRACE, EOSC, Eudat, and upcoming EuroHPC initiatives. 

ISW (In Silico World)  project website:  https://insilico.world/ 

Duration: 1 January 2021 –31 December 2024 

Project lead: Marian Bubak (Scientific Affairs Director)

Partners/ List of collaborators:

  • Alma Mater Studiorum – Università di Bologna (IT) – Coordinator
  • Universiteit van Amsterdam (NL)
  • Technische Universiteit Eindhoven (NL)
  • Università degli Studi di Catania (IT)
  • Virtual Physiological Human Institute for Integrative
  • Biomedical Research VZW
  • Katholieke Universiteit Leuven (BE)
  • Insilicotrials Technologies SRL
  • Universite de Liege (BE)
  • Erasmus Universitair Medisch Centrum Rotterdam (NL)
  • Budapesti Muszaki es Gazdasagtudomanyi Egyetem (HU)
  • Din Deutsches Institut Fuer Normung E.V. (DE)
  • Mimesis SRL
  • Rsscan International NV (BE)
  • Sano – Centre for Computational Medicine (PL)

Teaming for Excellence  

The goal of the Teaming for Excellence initiative is to establish a world-class research and innovation hub in Kraków, Poland. The Centre will focus its activities on computational diagnostics, a field at the forefront of technological transformation in healthcare. By leveraging advanced statistical models, machine learning, and large-scale data analysis, it will play a pivotal role in the prevention, diagnosis, and treatment of complex diseases.

The Centre aims to streamline healthcare systems, reduce treatment costs, and improve patient outcomes across Europe. As a catalyst for change, it seeks to reshape the future of medicine through computational innovation.

Strategic Objectives: 

  • Conduct advanced research and development in personalised diagnostics and treatment.
  • Support the healthcare industry through modern, high-impact technological solutions.
  • Accelerate the transfer of knowledge and technology within the healthcare sector.
  • Attract investment, foster start-ups, and promote international collaboration.

Teaming project website: https://cordis.europa.eu/project/id/857533 

Duration: 1 August 2019 – 31 July 2027

Project lead: Maciej Malawski (Research Team Leader of Extreme-scale Data and Computing) 

H2020-EU.4.a. – Teaming of excellent research institutions and low performing RDI regions 

Partners/ List of collaborators:  

  • Centre for New Methods in Computational Diagnostics and Personalised Therapy – Centre (PL) – Coordinator  
  • Narodowe Centrum Badań i Rozwoju  NCBR  (PL)  
  • Forschungszentrum Jülich GmbH  – FZJ  (DE)
  • Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie (PL) 
  • Akademickie Centrum Komputerowe Cyfronet – Cyfronet  (PL)  
  • Fundacja Klaster LifeScience Kraków – KLSK (PL)
  • Fraunhofer–Gesellschaft zur Förderung der angewandten Forschung e.V – Fraunhofer (DE)
  • The University of Sheffield  – USFD (UK)