{"id":89040,"date":"2025-09-18T13:40:15","date_gmt":"2025-09-18T10:40:15","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=89040"},"modified":"2025-09-18T13:45:15","modified_gmt":"2025-09-18T10:45:15","slug":"ai-model-trained-to-predict-over-1000-diseases","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/ai-model-trained-to-predict-over-1000-diseases\/","title":{"rendered":"AI Model Trained to Predict Over 1,000 Diseases"},"content":{"rendered":"<p>Scientists have <a href=\"https:\/\/www.nature.com\/articles\/s41586-025-09529-3\">developed<\/a> an AI tool capable of forecasting more than 1,000 diseases and predicting health changes up to a decade in advance.<\/p>\n<p>Experts from the European Molecular Biology Laboratory (EMBL), the German Cancer Research Center, and the University of Copenhagen employed algorithmic principles similar to those used in large language models.<\/p>\n<p>The AI was trained on data from two independent healthcare systems\u2014anonymized information from 400,000 individuals in the UK Biobank study and 1.9 million patients from Denmark&#8217;s national registry.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cMedical events often follow predictable patterns. Our AI model learns these and can forecast future health outcomes,\u201d stated Thomas Fitzgerald, a research fellow at the European Bioinformatics Institute.<\/p>\n<\/blockquote>\n<p>The new tool assesses the likelihood of a person developing a particular disease and when it might occur. The neural network can predict cancer, diabetes, cardiovascular diseases, respiratory illnesses, and many other disorders.<\/p>\n<p>The Delphi-2M model analyzes \u201cmedical events\u201d in a patient&#8217;s history and lifestyle factors: excess weight, harmful habits, age, and gender.<\/p>\n<p>Health risks are expressed as percentages over time, akin to a weather forecast: \u201c70% chance of rain over the weekend.\u201d<\/p>\n<p>Acting Director of EMBL Ewan Birney mentioned that patients will begin to benefit from the tool in the coming years:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cYou come to an appointment, and the doctor is already using such tools and says: \u2018Here are the four main risks in your future, and here are two things you can do to change that.\u2019\u201d<\/p>\n<\/blockquote>\n<p>He noted that standard advice like losing weight or quitting smoking will remain, but for some diseases, more specific recommendations will be available.<\/p>\n<p>Birney highlighted that a key advantage of Delphi-2M over other solutions is its ability to predict all diseases simultaneously over a long period.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cDelphi-2M assesses the likelihood of more than 1,000 diseases considering individual medical history, and its accuracy is comparable to existing models for specific diseases,\u201d the project team stated.<\/p>\n<\/blockquote>\n<p>Head of AI at the German Cancer Research Center, Professor Moritz Gerstung, emphasized that Delphi-2M marks the beginning of a new way of understanding human health and disease progression. He stated that generative models could one day personalize care and anticipate healthcare needs across entire systems.<\/p>\n<p>Earlier in September, researchers from Harvard Medical School <a href=\"https:\/\/forklog.com\/en\/news\/ai-model-trained-to-treat-parkinsons-and-alzheimers-diseases\">introduced<\/a> an AI model capable of identifying precise combinations of genes and drugs to reverse pathological states in human cells.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientists have developed an AI tool capable of forecasting more than 1,000 diseases and predicting health changes up to a decade in advance.<\/p>\n","protected":false},"author":1,"featured_media":26216,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"AI tool forecasts over 1,000 diseases, predicting health changes a decade ahead.","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,1414],"class_list":["post-89040","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-medicine"],"aioseo_notices":[],"amp_enabled":true,"views":"87","promo_type":"1","layout_type":"1","short_excerpt":"AI tool forecasts over 1,000 diseases, predicting health changes a decade ahead.","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/89040","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=89040"}],"version-history":[{"count":1,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/89040\/revisions"}],"predecessor-version":[{"id":89041,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/89040\/revisions\/89041"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/26216"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=89040"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=89040"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=89040"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}