{"id":397568,"date":"2025-07-23T13:25:46","date_gmt":"2025-07-23T17:25:46","guid":{"rendered":"https:\/\/www.yorku.ca\/yfile\/?p=397568"},"modified":"2025-07-23T13:26:14","modified_gmt":"2025-07-23T17:26:14","slug":"york-research-drives-national-ai-projects-to-improve-liver-transplant-care","status":"publish","type":"post","link":"https:\/\/www.yorku.ca\/yfile\/2025\/07\/23\/york-research-drives-national-ai-projects-to-improve-liver-transplant-care\/","title":{"rendered":"York research drives national AI projects to improve liver transplant care\u00a0"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">A York University researcher will co-lead two major national research projects to advance health equity and innovation in liver transplant care by using artificial intelligence (AI).&nbsp;<\/h3>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Divya Sharma<\/strong>, assistant professor in the <a href=\"https:\/\/www.yorku.ca\/science\/\" target=\"_blank\" rel=\"noreferrer noopener\">Faculty of Science<\/a> who leads the <a href=\"https:\/\/divya-sharma-york.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">IMPACT-AI lab<\/a>, is a co-principal investigator on two Canadian Institutes of Health Research (CIHR) grants: a Team Grant of nearly $2 million and a Project Grant of close to $1 million.\u00a0<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"758\" height=\"1024\" src=\"https:\/\/www.yorku.ca\/yfile\/wp-content\/uploads\/sites\/889\/2024\/09\/Divya-Sharma-758x1024.png\" alt=\"Divya Sharma\" class=\"wp-image-368164\" style=\"width:168px;height:auto\"\/><figcaption class=\"wp-element-caption\">Divya Sharma<\/figcaption><\/figure>\n<\/div>\n\n\n<p>The Team Grant project, titled \u201c<a href=\"https:\/\/webapps.cihr-irsc.gc.ca\/decisions\/p\/project_details.html?applId=525602&amp;lang=en\" target=\"_blank\" rel=\"noreferrer noopener\">Team Liver AI \u2013 Building the Framework to Tackle the Inequities of Access to and Outcomes for People Needing Liver Transplant in Canada<\/a>,\u201d brings together experts from across disciplines to address systemic gaps in liver transplant care.&nbsp;<\/p>\n\n\n\n<p>The interdisciplinary team includes clinicians, researchers and policy experts from institutions including University Health Network, the University of Toronto and other leading transplant centres. &nbsp;<\/p>\n\n\n\n<p>The team aims to build a national framework that uses AI to identify and address disparities in access to liver transplants and in post-transplant outcomes. Sharma is leading the development of a predictive model that integrates both clinical data and social determinants of health \u2013 such as income, geography and structural barriers \u2013 to support long-term graft health and inform more equitable care.&nbsp;<\/p>\n\n\n\n<p>\u201cBy incorporating social and structural factors into our modelling, we aim to create a more holistic and equitable approach to liver transplant care,\u201d says Sharma.&nbsp;<\/p>\n\n\n\n<p>Sharma is also a co-principal investigator on a second CIHR-funded project,&nbsp;\u201c<a href=\"https:\/\/webapps.cihr-irsc.gc.ca\/decisions\/p\/project_details.html?applId=523833&amp;lang=en\" target=\"_blank\" rel=\"noreferrer noopener\">DynaGraft: Development of a Prognostic Multimodal AI tool for Graft Fibrosis in Liver Transplantation<\/a>,\u201d which received $933,300. This five-year study, led in partnership with researchers at the University Health Network, focuses on predicting and preventing graft fibrosis \u2013 a serious complication that affects up to 25 per cent of liver transplant recipients.&nbsp;<\/p>\n\n\n\n<p>The team is developing a multimodal AI tool that combines clinical, pathology and imaging data to identify patients at high risk of graft scarring. The tool will be integrated into hospital electronic health records to support real-time decision making in clinical settings.&nbsp;<\/p>\n\n\n\n<p>These projects build on Sharma\u2019s recent study published in&nbsp;<a href=\"https:\/\/www.nature.com\/articles\/s41467-025-59610-8#Sec2\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Nature Communications<\/em><\/a>, where she and collaborators introduced GraftIQ, an AI tool that helps doctors diagnose liver graft problems without needing a biopsy. The model offers a safer and more accurate way to support care for liver transplant patients.&nbsp;<\/p>\n\n\n\n<p>\u201cThis work has the potential to inform national policy and improve outcomes for patients who have historically faced barriers to access,\u201d says Sharma.&nbsp;<\/p>\n\n\n\n<p>Liver transplantation is a life-saving procedure, but access to it \u2013 and the quality of care received after surgery \u2013 can vary significantly depending on a patient\u2019s background and circumstances, she says. These projects are designed to close these gaps by building a data-driven framework that can be used by clinicians, health systems and policymakers to make more equitable decisions.&nbsp;<\/p>\n\n\n\n<p>\u201cThe goal is to ensure that predictive tools are not only medically accurate but also representative of Canada\u2019s diverse transplant population,\u201d says Sharma.&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>York University Assistant Professor Divya Sharma is working with national partners on two projects that use artificial intelligence to improve access, diagnosis and long-term outcomes for liver transplant patients across Canada.\u00a0<\/p>\n","protected":false},"author":2386,"featured_media":397585,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","footnotes":""},"categories":[19,25,22],"tags":[56,18,6,61,45,35,21,47,16,23,37,15,4],"yfileauthor":[204],"qualifier":[198],"yfile-author":[304],"tags-to-show":[160,155,147,168,163,153,154,158],"workflow":[],"class_list":["post-397568","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-awards-recognition","category-editors-picks","category-research-innovation","tag-ai","tag-awards","tag-faculty","tag-science","tag-government","tag-partnerships","tag-research","tag-sdg-10","tag-sdg-17","tag-sdg-3","tag-sdg-9","tag-sdg","tag-yfile","yfileauthor-yfilestaff","qualifier-by","yfile-author-ashley-goodfellow-craig","tags-to-show-artificial-intelligence-ai","tags-to-show-awards","tags-to-show-faculty","tags-to-show-faculty-of-science","tags-to-show-government","tags-to-show-partnerships","tags-to-show-research","tags-to-show-sdg"],"acf":{"internal_publish_date":null,"original_image":null},"yoast_head":"<!-- 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