{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T11:03:35Z","timestamp":1785668615262,"version":"3.56.0"},"reference-count":0,"publisher":"American Association for the Advancement of Science (AAAS)","issue":"6698","content-domain":{"domain":["www.science.org"],"crossmark-restriction":true},"short-container-title":["Science"],"published-print":{"date-parts":[[2024,5,24]]},"abstract":"<jats:p>\n            \u201cAI-Powered Forecasting\u201d was recently on the\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/www.science.org\/toc\/science\/382\/6677\">\n              cover of\n              <jats:italic>Science<\/jats:italic>\n            <\/jats:ext-link>\n            , highlighting\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/www.science.org\/doi\/10.1126\/science.adi2336\">a new deep learning model<\/jats:ext-link>\n            for much faster and more accurate weather forecasting. Known as GraphCast, it outperformed the gold-standard system and had an accuracy of 99.7% for tropospheric predictions, the most important forecasting region that is closest to Earth\u2019s surface. Better warnings for extreme weather events such as hurricanes and cyclones will help save lives. The parallel in medicine is forecasting specific, actionable, high risk for individuals to prevent diseases or severe acute events. But we don\u2019t have a gold standard for predicting health outcomes. That is hopefully about to change.\n          <\/jats:p>","DOI":"10.1126\/science.adp7977","type":"journal-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T18:03:18Z","timestamp":1716487398000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":18,"title":["Medical forecasting"],"prefix":"10.1126","volume":"384","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1478-4729","authenticated-orcid":true,"given":"Eric J.","family":"Topol","sequence":"first","affiliation":[{"name":"Scripps Research, La Jolla, CA, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"221","container-title":["Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.science.org\/doi\/full\/10.1126\/science.adp7977","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T18:03:34Z","timestamp":1716487414000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.science.org\/doi\/10.1126\/science.adp7977"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,24]]},"references-count":0,"journal-issue":{"issue":"6698","published-print":{"date-parts":[[2024,5,24]]}},"alternative-id":["10.1126\/science.adp7977"],"URL":"https:\/\/doi.org\/10.1126\/science.adp7977","relation":{},"ISSN":["0036-8075","1095-9203"],"issn-type":[{"value":"0036-8075","type":"print"},{"value":"1095-9203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,24]]},"assertion":[{"value":"2024-05-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"eadp7977"}}