{"id":10685,"date":"2024-03-12T19:04:30","date_gmt":"2024-03-12T19:04:30","guid":{"rendered":"https:\/\/dailyai.com\/?p=10685"},"modified":"2024-03-13T10:10:46","modified_gmt":"2024-03-13T10:10:46","slug":"mayo-clinic-researchers-develop-hypothesis-driven-ai-for-medical-research","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nl\/2024\/03\/mayo-clinic-researchers-develop-hypothesis-driven-ai-for-medical-research\/","title":{"rendered":"Mayo Clinic-onderzoekers ontwikkelen \"hypothesegestuurde AI\" voor oncologie"},"content":{"rendered":"<p><b>Onderzoekers van de Mayo Clinic hebben een innovatieve AI-technologie ontwikkeld, \"hypothesegestuurde AI\" genoemd, die afwijkt van conventionele gegevensgestuurde AI-modellen.<\/b><\/p>\n<p>Traditionele AI-methoden blinken uit in het identificeren van patronen in enorme hoeveelheden gegevens, zoals genetische sequenties of diagnostische beelden, maar kunnen bestaande wetenschappelijke kennis of hypotheses vaak niet direct opnemen in hun leerproces.<\/p>\n<p>Hypothesegestuurde AI daagt deze normen uit door medische hypotheses op te nemen in het leerproces. Het leert niet alleen van de gegevens die het binnenkrijgt - het gebruikt ook hypotheses om gegevens direct te onderzoeken.<\/p>\n<p><span style=\"font-weight: 400;\">Hun documenteren <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38398213\/\" target=\"_blank\" rel=\"noopener\">onderzoek<\/a> in het tijdschrift Cancers<\/span><span style=\"font-weight: 400;\">De Mayo Clinic past hun hypothesegestuurde AI-systemen toe om de dynamiek van complexe ziekten zoals kanker te helpen ontrafelen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Schrijven in een <a href=\"https:\/\/newsnetwork.mayoclinic.org\/discussion\/mayo-researchers-invented-a-new-class-of-ai-to-improve-cancer-research-and-treatments\/\" target=\"_blank\" rel=\"noopener\">Mayo Kliniek persbericht<\/a>Dr. Hu Li, hoofdauteur van het onderzoek, legde uit hoe hypothesegestuurde AI voordelen biedt<\/span><span style=\"font-weight: 400;\">\u00a0medisch onderzoek: \"Dit bevordert een nieuw tijdperk in het ontwerpen van gerichte en ge\u00efnformeerde AI-algoritmen om wetenschappelijke vragen op te lossen, ziekten beter te begrijpen en ge\u00efndividualiseerde geneeskunde te begeleiden.\"\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Zo werkt het:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Gegevens verzamelen:<\/b><span style=\"font-weight: 400;\"> Het team, onder leiding van Zilin Xianyu en collega's van de Mayo Clinic, begon hun onderzoek met het verzamelen van onder andere genomische gegevens (DNA), proteomische gegevens (eiwitten), transcriptomische gegevens (RNA-boodschappen) en epigenetische gegevens (erfelijke veranderingen die geen invloed hebben op de DNA-sequentie) van duizenden kankermonsters.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Het AI-systeem ontwikkelen:<\/b><span style=\"font-weight: 400;\"> Op basis van de verzamelde gegevens ontwierpen de onderzoekers een nieuwe klasse AI-algoritmen die bekend staan als \"hypothesegestuurde AI\". In tegenstelling tot traditionele modellen zijn deze algoritmen speciaal ontworpen om wetenschappelijke hypotheses in hun leerproces te integreren en te testen.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Toepassing op oncologisch onderzoek:<\/b><span style=\"font-weight: 400;\"> Toen de algoritmen klaar waren, pasten de onderzoekers hun hypothesegestuurde AI toe op verschillende belangrijke gebieden van oncologisch onderzoek, zoals tumorclassificatie, pati\u00ebntstratificatie en voorspelling van medicijnrespons, waarbij ze verbeterde prestaties rapporteerden ten opzichte van conventionele methoden.\u00a0<\/span><\/li>\n<\/ul>\n<figure id=\"attachment_10686\" aria-describedby=\"caption-attachment-10686\" style=\"width: 686px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-10686\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI.png\" alt=\"Mayokliniek AI\" width=\"686\" height=\"578\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI.png 937w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI-300x253.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI-768x648.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI-14x12.png 14w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI-370x312.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI-800x674.png 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI-20x17.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI-740x624.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/03\/hypothesis-drivenAI-57x48.png 57w\" sizes=\"auto, (max-width: 686px) 100vw, 686px\" \/><figcaption id=\"caption-attachment-10686\" class=\"wp-caption-text\">De voorstelling van de auteurs van hoe hypothesegestuurde AI werkt en de voordelen ervan. Bron: <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38398213\/\">Mayokliniek<\/a>.<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">Daniel Billadeau, Ph.D., mede-uitvinder van het onderzoek en professor aan de afdeling immunologie van de Mayo Clinic, verklaarde: \"Deze nieuwe klasse van AI opent een nieuwe weg om de interacties tussen kanker en het immuunsysteem beter te begrijpen en houdt een grote belofte in, niet alleen om medische hypotheses te testen, maar ook om te voorspellen en te verklaren hoe pati\u00ebnten zullen reageren op immuuntherapie\u00ebn.\"\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Natuurlijk zijn er enkele beperkingen. Dr. Li wijst op de uitdagingen bij het maken van zulke geavanceerde algoritmen, waaronder de noodzaak van domeinspecifiek onderzoek en het risico van vertekening.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Toch blijft hij optimistisch: \"Desalniettemin faciliteert hypothesedriven AI actieve interacties tussen menselijke experts en AI die de zorgen wegnemen dat AI uiteindelijk sommige professionele banen zal elimineren.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De rol van AI in medisch onderzoek en onderzoek in de gezondheidszorg is voortdurend in ontwikkeling. <\/span><a href=\"https:\/\/dailyai.com\/nl\/2023\/12\/mit-researchers-identify-new-class-of-antibiotics-using-ai\/\"><span style=\"font-weight: 400;\">nieuw onderzoek naar antibiotica<\/span><\/a><span style=\"font-weight: 400;\"> en synthetiseren <\/span><a href=\"https:\/\/dailyai.com\/nl\/2023\/07\/ai-accelerates-discovery-of-anti-aging-drugs-in-new-study\/\"><span style=\"font-weight: 400;\">geneesmiddelen tegen veroudering.<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Onderzoekers van de Mayo Clinic gebruikten onlangs GPT-4 als diagnostische <\/span><a href=\"https:\/\/dailyai.com\/nl\/2024\/01\/researchers-successfully-use-gpt-4-to-recommend-stroke-treatments\/\"><span style=\"font-weight: 400;\">hulpmiddel voor pati\u00ebnten met een beroerte,<\/span><\/a><span style=\"font-weight: 400;\"> en vorig jaar hielpen ze bij de ontwikkeling van een machine-learningmodel dat <\/span><a href=\"https:\/\/dailyai.com\/nl\/2023\/10\/researchers-diagnose-diabetes-in-seconds-using-voice-recordings\/\"><span style=\"font-weight: 400;\">diabetes diagnosticeren aan de hand van spraakopnames<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Er zijn echter risico's, zoals bleek toen meer dan 100 onderzoekers richtlijnen opstelden voor <\/span><a href=\"https:\/\/dailyai.com\/nl\/2024\/03\/researchers-create-voluntary-safety-rules-for-ai-protein-design\/\"><span style=\"font-weight: 400;\">veilig AI-eiwitontwerp<\/span><\/a><span style=\"font-weight: 400;\">\u00a0om de kans op misbruik te beperken.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Onderzoekers van de Mayo Clinic hebben een innovatieve AI-technologie ontwikkeld, \"hypothesegestuurde AI\" genoemd, die afwijkt van conventionele datagestuurde AI-modellen. Traditionele AI-methoden blinken uit in het identificeren van patronen in enorme hoeveelheden gegevens, zoals genetische sequenties of diagnostische beelden, maar kunnen bestaande wetenschappelijke kennis of hypotheses vaak niet direct opnemen in hun leerproces. Hypothesegestuurde AI daagt deze normen uit door medische hypotheses op te nemen in het leerproces. Het leert niet alleen van de gegevens die het binnenkrijgt - het gebruikt ook hypotheses om gegevens direct te verkennen. De Mayo Clinic documenteert hun onderzoek in het tijdschrift Cancers en past hun hypothesegestuurde AI-systemen toe om<\/p>","protected":false},"author":2,"featured_media":10687,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[203,204,178],"class_list":["post-10685","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-biotech","tag-healthcare","tag-medicine"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mayo Clinic researchers develop &quot;hypothesis-driven AI&quot; for oncology | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers at the Mayo Clinic have developed an innovative AI technology, termed &quot;hypothesis-driven AI,&quot; which diverges from the conventional data-driven AI models.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nl\/2024\/03\/mayo-clinic-researchers-develop-hypothesis-driven-ai-for-medical-research\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mayo Clinic researchers develop &quot;hypothesis-driven AI&quot; 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