Adam Su\u0142ek<\/a>, Postdoctoral Researcher, showcased a poster titled “Challenges in Explainable Machine Learning for Drug Discovery”, co-authored with Jakub Klimczak, Jakub Jo\u0144czyk, Tomasz Ko\u015bci\u00f3\u0142ek, Tomasz Danel, and Barbara Pucelik. Their work addressed the growing demand for transparency in machine learning models applied to molecular and pharmacological research, outlining both current obstacles and future directions.<\/p>\n\n\n\nThe summer school served as a fertile ground for interdisciplinary dialogue \u2014 linking machine learning with real-world challenges in drug and materials development. From hands-on sessions to informal discussions, it created space for both technical learning and collaborative inspiration.<\/p>\n","protected":false},"excerpt":"Sano Researchers at MLSSD 2025","author":8,"featured_media":25658,"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-25657","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\n
Advancing Explainable AI in Drug Discovery - 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\/advancing-explainable-ai-in-drug-discovery\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Advancing Explainable AI in Drug Discovery\" \/>\n<meta property=\"og:description\" content=\"Sano Researchers at MLSSD 2025\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/advancing-explainable-ai-in-drug-discovery\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-07-07T11:10:33+00:00\" \/>\n<meta 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class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/07\/MLSSD-2025-Kosciolek-771x1024.jpg\" alt=\"\" class=\"wp-image-25661\" style=\"aspect-ratio:3\/2;object-fit:cover\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/07\/MLSSD-2025-Kosciolek-771x1024.jpg\" alt=\"\" class=\"wp-image-25661\" style=\"aspect-ratio:3\/2;object-fit:cover\"\/><\/figure>\n"]}],"innerHTML":"\n<div class=\"wp-block-column eplus-wrapper\"><\/div>\n","innerContent":["\n<div class=\"wp-block-column eplus-wrapper\">",null,"<\/div>\n"]},{"blockName":"core\/column","attrs":{"verticalAlignment":"center","epAnimationGeneratedClass":"edplus_anim-UANPMS","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-xKM6hj","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/tomasz-kosciolek\/\">Tomasz Ko\u015bci\u00f3\u0142ek<\/a>, Research Team Leader, delivered a talk on the role of machine learning in drug design, offering a clear and insightful perspective on how advanced algorithms are reshaping early-stage drug discovery. His presentation blended technical depth with accessible delivery, drawing strong interest from participants across disciplines.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/tomasz-kosciolek\/\">Tomasz Ko\u015bci\u00f3\u0142ek<\/a>, Research Team Leader, delivered a talk on the role of machine learning in drug design, offering a clear and insightful perspective on how advanced algorithms are reshaping early-stage drug discovery. His presentation blended technical depth with accessible delivery, drawing strong interest from participants across disciplines.<\/p>\n"]}],"innerHTML":"\n<div class=\"wp-block-column is-vertically-aligned-center eplus-wrapper\"><\/div>\n","innerContent":["\n<div class=\"wp-block-column is-vertically-aligned-center eplus-wrapper\">",null,"<\/div>\n"]}],"innerHTML":"<div class=\"wp-block-columns eplus-wrapper eplus-styles-uid-3403da\">\n\n<\/div>","innerContent":["\n<div class=\"wp-block-columns eplus-wrapper\">",null,"\n\n",null,"<\/div>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-gqSyD1","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\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-aeetKg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/adam-sulek\/\">Adam Su\u0142ek<\/a>, Postdoctoral Researcher, showcased a poster titled \"Challenges in Explainable Machine Learning for Drug Discovery\", co-authored with Jakub Klimczak, Jakub Jo\u0144czyk, Tomasz Ko\u015bci\u00f3\u0142ek, Tomasz Danel, and Barbara Pucelik. Their work addressed the growing demand for transparency in machine learning models applied to molecular and pharmacological research, outlining both current obstacles and future directions.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/sano.science\/people\/adam-sulek\/\">Adam Su\u0142ek<\/a>, Postdoctoral Researcher, showcased a poster titled \"Challenges in Explainable Machine Learning for Drug Discovery\", co-authored with Jakub Klimczak, Jakub Jo\u0144czyk, Tomasz Ko\u015bci\u00f3\u0142ek, Tomasz Danel, and Barbara Pucelik. Their work addressed the growing demand for transparency in machine learning models applied to molecular and pharmacological research, outlining both current obstacles and future directions.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-oPHtdO","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The summer school served as a fertile ground for interdisciplinary dialogue \u2014 linking machine learning with real-world challenges in drug and materials development. From hands-on sessions to informal discussions, it created space for both technical learning and collaborative inspiration.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The summer school served as a fertile ground for interdisciplinary dialogue \u2014 linking machine learning with real-world challenges in drug and materials development. From hands-on sessions to informal discussions, it created space for both technical learning and collaborative inspiration.<\/p>\n"]}],"meta_data":{"has_thumbnail_pattern":false,"share_on_social_media":{"has_social_media":false}},"featured_image":{"url":"https:\/\/sano.science\/wp-content\/uploads\/2025\/08\/Aam-Sulek-857x1024.jpeg"},"main_category":{"name":"Uncategorized"},"prev_page":{"slug":"sano-researchers-present-work-at-iccs-2025-in-singapore"},"next_page":{"slug":"ai-driven-allergy-diagnostics-presented-at-aime-2025-in-pavia"},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/25657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/post"}],"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=25657"}],"version-history":[{"count":4,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/25657\/revisions"}],"predecessor-version":[{"id":25665,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/25657\/revisions\/25665"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/25658"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=25657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/categories?post=25657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/tags?post=25657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/sano.science\/wp-content\/uploads\/2025\/07\/MLSSD-2025-Kosciolek-771x1024.jpg\")
<\/figure>\n<\/div>\n\n\n\n