{"id":243857,"date":"2026-09-10T01:25:01","date_gmt":"2026-09-10T06:25:01","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/09\/researchers-chart-new-course-for-ai-powered-biomedical-discoveries"},"modified":"2026-09-10T01:25:01","modified_gmt":"2026-09-10T06:25:01","slug":"researchers-chart-new-course-for-ai-powered-biomedical-discoveries","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/09\/researchers-chart-new-course-for-ai-powered-biomedical-discoveries","title":{"rendered":"Researchers chart new course for AI-powered biomedical discoveries"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/researchers-chart-new-course-for-ai-powered-biomedical-discoveries.jpg\"><\/a><\/p>\n<p>University of Missouri researchers are paving the way as artificial intelligence transforms biomedical research. A team from the College of Engineering and collaborators recently published one of the most comprehensive reviews to date of an emerging AI approach for biology known as flow matching. The work, <a href=\"https:\/\/www.nature.com\/articles\/s42256-026-01220-0\" target=\"_blank\">published<\/a> in <i>Nature Machine Intelligence<\/i>, provides scientists around the world with a roadmap for applying the technology to accelerate drug discovery, precision medicine and other biomedical advances.<\/p>\n<p>\u201cFlow matching helps computers learn how biology changes from one state to another,\u201d said Jianlin \u201cJack\u201d Cheng, a Curators\u2019 Distinguished Professor and Paul K. and Diane Shumaker Professor in Bioinformatics. \u201cThis gives scientists a powerful new way to study everything from protein folding to cell development and cancer progression.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>University of Missouri researchers are paving the way as artificial intelligence transforms biomedical research. A team from the College of Engineering and collaborators recently published one of the most comprehensive reviews to date of an emerging AI approach for biology known as flow matching. The work, published in Nature Machine Intelligence, provides scientists around the [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-243857","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/243857","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=243857"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/243857\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=243857"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=243857"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=243857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}