{"id":27805,"date":"2026-01-15T10:00:22","date_gmt":"2026-01-15T09:00:22","guid":{"rendered":"https:\/\/sano.science\/?p=27805"},"modified":"2026-01-23T16:14:21","modified_gmt":"2026-01-23T15:14:21","slug":"congratulations-to-monika-pytlarz-for-winning-ncn-preludium-grant","status":"publish","type":"post","link":"https:\/\/sano.science\/congratulations-to-monika-pytlarz-for-winning-ncn-preludium-grant\/","title":{"rendered":"Congratulations to Monika Pytlarz for Winning NCN Preludium Grant"},"content":{"rendered":"\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/monika-pytlarz\/\">Monika Pytlarz<\/a>, PhD student in Computational Neuroscience at Sano Centre for Computational Medicine, has won the <a href=\"https:\/\/sano.science\/sano-national-grants\/#Preludium-Pytlarz\" target=\"_blank\" rel=\"noreferrer noopener\">NCN Preludium grant<\/a> &#8211; <strong>Preludium\u00a0\u00a02025\/57\/N\/NZ7\/03738<\/strong>. Her project explores using AI to improve brain metastases tracking by viewing uncertainty as clinically meaningful rather than as error.<\/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>The&nbsp;title&nbsp;of the&nbsp;project<\/strong><\/p>\n\n\n\n<p class=\" eplus-wrapper\"><em>Developing an AI algorithm for longitudinal tracking of post-treatment changes in brain metastases using a hybrid Uncertainty-Aware Explainable (UQ-XAI) architecture accounting for inter- and intra-rater variability in segmentations.<\/em><\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-the-clinical-challenge-in-brain-metastases-monitoring-nbsp\">The Clinical Challenge in Brain Metastases Monitoring&nbsp;<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">Accurate monitoring of brain metastases is crucial for effective treatment, yet clinical practice still relies&nbsp;mainly on&nbsp;simple 2D measurements. While AI has advanced in MRI scan analysis, clinicians&nbsp;remain&nbsp;cautious \u2014 AI systems often act as \u201cblack boxes\u201d without confidence indicators. Even experienced radiologists&nbsp;frequently&nbsp;disagree when segmenting the same lesions, reflecting the complexity of medical image interpretation.&nbsp;<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-innovative-solution-hybrid-uncertainty-aware-explainable-ai-nbsp\">Innovative Solution: Hybrid Uncertainty-Aware Explainable AI&nbsp;<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">Monika proposes a hybrid architecture that automatically detects and measures brain metastases while clearly&nbsp;indicating&nbsp;prediction uncertainty and explaining which image regions influence decisions. Trained on multi-expert annotated data, the system treats radiologists\u2019 disagreements as valuable information rather than errors.&nbsp;<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-clinical-benefits-and-real-world-impact-nbsp\">Clinical Benefits and Real-World Impact&nbsp;<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">Changes in uncertainty over time can signal heterogeneous treatment responses, enabling physicians to make faster, safer decisions. This approach builds trust in AI and supports precise treatment monitoring.&nbsp;<\/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\">The project is conducted in collaboration with&nbsp;<a href=\"https:\/\/www.chop.edu\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Children\u2019s&nbsp;Hospital&nbsp;of Philadelphia<\/a> (CHOP), ensuring access to high-quality clinical data and real-world validation.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-center eplus-wrapper\" id=\"h-congratulations-to-monika-on-this-achievement-nbsp\">Congratulations to Monika on this achievement!&nbsp;<\/h3>\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\"><em>This work in computational neuroscience&nbsp;showcases&nbsp;her innovative approach, paving the way for smart AI solutions to clinical challenges.<\/em><\/p>\n\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-db5139\">\n<div class=\"wp-block-column is-vertically-aligned-center eplus-wrapper is-layout-flow wp-block-column-is-layout-flow\">\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\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<\/div>\n<\/div>\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">#NCN<\/p>\n","protected":false},"excerpt":"For innovative AI tracking brain metastases. \u201cHer uncertainty-aware explainable architecture transforms radiologists\u2019 segmentation variability into valuable clinical insights for safer treatment decisions.\u201d","author":8,"featured_media":27817,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"categories":[1],"tags":[],"class_list":["post-27805","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - 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<strong>Preludium\u00a0\u00a02025\/57\/N\/NZ7\/03738<\/strong>. Her project explores using AI to improve brain metastases tracking by viewing uncertainty as clinically meaningful rather than as error.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/monika-pytlarz\/\">Monika Pytlarz<\/a>, PhD student in Computational Neuroscience at Sano Centre for Computational Medicine, has won the <a href=\"https:\/\/sano.science\/sano-national-grants\/#Preludium-Pytlarz\" target=\"_blank\" rel=\"noreferrer noopener\">NCN Preludium grant<\/a> - <strong>Preludium\u00a0\u00a02025\/57\/N\/NZ7\/03738<\/strong>. Her project explores using AI to improve brain metastases tracking by viewing uncertainty as clinically meaningful rather than as error.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-EAwo69","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-KqNo6k","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>The&nbsp;title&nbsp;of the&nbsp;project<\/strong><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>The&nbsp;title&nbsp;of the&nbsp;project<\/strong><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-FxDvK2","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><em>Developing an AI algorithm for longitudinal tracking of post-treatment changes in brain metastases using a hybrid Uncertainty-Aware Explainable (UQ-XAI) architecture accounting for inter- and intra-rater variability in segmentations.<\/em><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><em>Developing an AI algorithm for longitudinal tracking of post-treatment changes in brain metastases using a hybrid Uncertainty-Aware Explainable (UQ-XAI) architecture accounting for inter- and intra-rater variability in segmentations.<\/em><\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"40px","epAnimationGeneratedClass":"edplus_anim-EAwo69","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\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-z4kYat","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-the-clinical-challenge-in-brain-metastases-monitoring-nbsp\">The Clinical Challenge in Brain Metastases Monitoring&nbsp;<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-the-clinical-challenge-in-brain-metastases-monitoring-nbsp\">The Clinical Challenge in Brain Metastases Monitoring&nbsp;<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-cNeRYs","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Accurate monitoring of brain metastases is crucial for effective treatment, yet clinical practice still relies&nbsp;mainly on&nbsp;simple 2D measurements. While AI has advanced in MRI scan analysis, clinicians&nbsp;remain&nbsp;cautious \u2014 AI systems often act as \u201cblack boxes\u201d without confidence indicators. Even experienced radiologists&nbsp;frequently&nbsp;disagree when segmenting the same lesions, reflecting the complexity of medical image interpretation.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Accurate monitoring of brain metastases is crucial for effective treatment, yet clinical practice still relies&nbsp;mainly on&nbsp;simple 2D measurements. While AI has advanced in MRI scan analysis, clinicians&nbsp;remain&nbsp;cautious \u2014 AI systems often act as \u201cblack boxes\u201d without confidence indicators. Even experienced radiologists&nbsp;frequently&nbsp;disagree when segmenting the same lesions, reflecting the complexity of medical image interpretation.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"40px","epAnimationGeneratedClass":"edplus_anim-EAwo69","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\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-B1V3HS","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-innovative-solution-hybrid-uncertainty-aware-explainable-ai-nbsp\">Innovative Solution: Hybrid Uncertainty-Aware Explainable AI&nbsp;<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-innovative-solution-hybrid-uncertainty-aware-explainable-ai-nbsp\">Innovative Solution: Hybrid Uncertainty-Aware Explainable AI&nbsp;<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-exyX29","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Monika proposes a hybrid architecture that automatically detects and measures brain metastases while clearly&nbsp;indicating&nbsp;prediction uncertainty and explaining which image regions influence decisions. Trained on multi-expert annotated data, the system treats radiologists\u2019 disagreements as valuable information rather than errors.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Monika proposes a hybrid architecture that automatically detects and measures brain metastases while clearly&nbsp;indicating&nbsp;prediction uncertainty and explaining which image regions influence decisions. Trained on multi-expert annotated data, the system treats radiologists\u2019 disagreements as valuable information rather than errors.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"40px","epAnimationGeneratedClass":"edplus_anim-EAwo69","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\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-oLmAqC","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-clinical-benefits-and-real-world-impact-nbsp\">Clinical Benefits and Real-World Impact&nbsp;<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-clinical-benefits-and-real-world-impact-nbsp\">Clinical Benefits and Real-World Impact&nbsp;<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-FmuHau","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Changes in uncertainty over time can signal heterogeneous treatment responses, enabling physicians to make faster, safer decisions. This approach builds trust in AI and supports precise treatment monitoring.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Changes in uncertainty over time can signal heterogeneous treatment responses, enabling physicians to make faster, safer decisions. This approach builds trust in AI and supports precise treatment monitoring.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-EAwo69","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-orbhky","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The project is conducted in collaboration with&nbsp;<a href=\"https:\/\/www.chop.edu\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Children\u2019s&nbsp;Hospital&nbsp;of Philadelphia<\/a> (CHOP), ensuring access to high-quality clinical data and real-world validation.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The project is conducted in collaboration with&nbsp;<a href=\"https:\/\/www.chop.edu\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Children\u2019s&nbsp;Hospital&nbsp;of Philadelphia<\/a> (CHOP), ensuring access to high-quality clinical data and real-world validation.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-jWm2Sm","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\/heading","attrs":{"textAlign":"center","level":3,"epAnimationGeneratedClass":"edplus_anim-yIt1Sk","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h3 class=\"wp-block-heading has-text-align-center eplus-wrapper\" id=\"h-congratulations-to-monika-on-this-achievement-nbsp\">Congratulations to Monika on this achievement!&nbsp;<\/h3>\n","innerContent":["\n<h3 class=\"wp-block-heading has-text-align-center eplus-wrapper\" id=\"h-congratulations-to-monika-on-this-achievement-nbsp\">Congratulations to Monika on this achievement!&nbsp;<\/h3>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-jWm2Sm","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-3m1Bsp","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><em>This work in computational neuroscience&nbsp;showcases&nbsp;her innovative approach, paving the way for smart AI solutions to clinical challenges.<\/em><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><em>This work in computational neuroscience&nbsp;showcases&nbsp;her innovative approach, paving the way for smart AI solutions to clinical challenges.<\/em><\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-jWm2Sm","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 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