{"id":230705,"date":"2026-02-06T10:15:23","date_gmt":"2026-02-06T16:15:23","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/02\/ai-tool-predicts-brain-age-cancer-survival-and-other-disease-signals-from-unlabeled-brain-mris"},"modified":"2026-02-06T10:15:23","modified_gmt":"2026-02-06T16:15:23","slug":"ai-tool-predicts-brain-age-cancer-survival-and-other-disease-signals-from-unlabeled-brain-mris","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/02\/ai-tool-predicts-brain-age-cancer-survival-and-other-disease-signals-from-unlabeled-brain-mris","title":{"rendered":"AI tool predicts brain age, cancer survival and other disease signals from unlabeled brain MRIs"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-tool-predicts-brain-age-cancer-survival-and-other-disease-signals-from-unlabeled-brain-mris2.jpg\"><\/a><\/p>\n<p>Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable of analyzing brain MRI datasets to perform numerous medical tasks, including identifying brain age, predicting dementia risk, detecting brain tumor mutations and predicting brain cancer survival. The tool, known as BrainIAC, outperformed other, more task-specific AI models and was especially efficient when limited training data were available.<\/p>\n<p>Results <a href=\"https:\/\/www.nature.com\/articles\/s41593-026-02202-6\" target=\"_blank\">are published<\/a> in Nature Neuroscience.<\/p>\n<p>\u201cBrainIAC has the potential to accelerate biomarker discovery, enhance diagnostic tools and speed the adoption of AI in clinical practice,\u201d said corresponding author Benjamin Kann, MD, of the Artificial Intelligence in Medicine (AIM) Program at Mass General Brigham. \u201cIntegrating BrainIAC into imaging protocols could help clinicians better personalize and improve patient care.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable of analyzing brain MRI datasets to perform numerous medical tasks, including identifying brain age, predicting dementia risk, detecting brain tumor mutations and predicting brain cancer survival. The tool, known as BrainIAC, outperformed other, more task-specific AI models and [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,47,6],"tags":[],"class_list":["post-230705","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-neuroscience","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/230705","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\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=230705"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/230705\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=230705"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=230705"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=230705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}