{"id":275190,"date":"2026-02-05T09:54:08","date_gmt":"2026-02-05T09:54:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/275190\/"},"modified":"2026-02-05T09:54:08","modified_gmt":"2026-02-05T09:54:08","slug":"new-ai-tool-predicts-repeat-heart-attack-risk-for-cancer-patients","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/275190\/","title":{"rendered":"New AI tool predicts repeat heart attack risk for cancer patients"},"content":{"rendered":"<p>            <a href=\"https:\/\/www.openaccessgovernment.org\/wp-content\/uploads\/2026\/02\/iStock-2201766112-scaled.jpg\" data-caption=\"image: \u00a9peterschreiber.media | iStock\" rel=\"nofollow noopener\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" width=\"696\" height=\"359\" class=\"entry-thumb td-modal-image\" src=\"https:\/\/www.newsbeep.com\/il\/wp-content\/uploads\/2026\/02\/iStock-2201766112-696x359.jpg\"   alt=\"X-ray 3D illustration of man with chest pain with blue background - heart attack\" title=\"X-ray 3D illustration of man with heart attack\"\/><\/a>image: \u00a9peterschreiber.media | iStock<br \/>\n            A new AI-powered tool can predict the risk of another heart attack in patients with cancer, helping doctors tailor care and improve outcomes, according to HDR UK and The Lancet<\/p>\n<p>The ONCO-ACS AI tool predicts the risk of repeat heart attacks, major bleeding, or death in cancer patients within six months. Using linked data from over a million patients, it helps doctors personalise care for a vulnerable group previously underserved by older risk scores.<\/p>\n<p>Cancer and heart attacks: A complex risk<\/p>\n<p>Cancer patients who suffer a heart attack are at a higher risk of further heart attacks due to a weakened cardiovascular system. The type of cancer can also affect the risk of bleeding, of arterial blood clotting, or both, requiring different treatments for prevention.<\/p>\n<p>A team of researchers from the University of Leicester has developed a new Artificial Intelligence tool, known as ONCO-ACS, that uses <a href=\"https:\/\/www.openaccessgovernment.org\/machine-learning-tool-unveils-promising-drugs-to-minimise-harmful-scarring-post-heart-attack\/173141\/\" target=\"_blank\" rel=\"noopener nofollow\">machine learning<\/a> to estimate a patient\u2019s risk of death, major bleeding, or recurrent cardiovascular events within six months of a heart attack, specifically tailored for people with cancer.<br \/>\nAI tool validated with real-world data<\/p>\n<p>The researchers used a linked dataset, Virtual Cardio-Oncology Research Initiative (VICORI), and comparable data from Sweden and Switzerland to analyse outcomes for one million heart attack patients, including over 47,000 with cancer. This comprehensive dataset enabled the development and validation of an AI model uniquely designed to address the added complexity of cancer in heart attack patients, outperforming traditional risk scores that lack cancer-specific insights.<\/p>\n<p>ONCO-ACS aims to support cancer patients at a higher risk of a heart attack, using intricate technology that helps clinicians make <a href=\"https:\/\/www.openaccessgovernment.org\/personalised-treatment-shows-promising-results-in-leukaemia-trial\/171241\/\" target=\"_blank\" rel=\"noopener nofollow\">personalised treatment decisions.<\/a> The AI tool could help healthcare professionals better identify patients who may require more intensive monitoring or tailored therapies, whilst avoiding unnecessary risks for others.<\/p>\n<p>Senior author Professor David Adlam, an interventional cardiologist from the University of Leicester\u2019s Department of Cardiovascular Sciences and a member of the BDCD consortium, said:\u201cSignificant advances in the management of heart disease and cancer alike have created new opportunities for these conditions to coexist. As a result, the growing overlap between cancer and heart attacks will confront cardiologists and oncologists with an increasingly complex patient population. We are addressing this pressing issue through a real-world data perspective.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"image: \u00a9peterschreiber.media | iStock A new AI-powered tool can predict the risk of another heart attack in patients&hellip;\n","protected":false},"author":2,"featured_media":275191,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[343,56713,163,142466,85,46],"class_list":{"0":"post-275190","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-health","8":"tag-artificial-intelligence","9":"tag-digital-health","10":"tag-health","11":"tag-heart-research","12":"tag-il","13":"tag-israel"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/275190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=275190"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/275190\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/275191"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=275190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=275190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=275190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}