{"id":10679,"date":"2024-03-12T18:07:19","date_gmt":"2024-03-12T18:07:19","guid":{"rendered":"https:\/\/dailyai.com\/?p=10679"},"modified":"2024-03-13T17:26:08","modified_gmt":"2024-03-13T17:26:08","slug":"researchers-use-ai-to-explore-how-genetics-influence-cardiac-structure","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/03\/researchers-use-ai-to-explore-how-genetics-influence-cardiac-structure\/","title":{"rendered":"Forskere bruger AI til at unders\u00f8ge, hvordan genetik p\u00e5virker hjertets struktur"},"content":{"rendered":"

Et internationalt forskerhold brugte AI til at unders\u00f8ge, hvordan genetik p\u00e5virker strukturen i hjertets venstre ventrikel.<\/b><\/p>\n

Den <\/span>unders\u00f8gelse<\/span><\/a>som blev offentliggjort i Nature, blev udf\u00f8rt af University of Manchester i samarbejde med University of Leeds, National Scientific and Technical Research Council i Argentina og IBM Research i Californien.<\/span><\/p>\n

Forskerne brugte uoverv\u00e5get deep learning til at analysere over 50.000 3D MRI-billeder fra UK Biobank, hvilket skabte et grundlag for at analysere specifikke omr\u00e5der af hjertets struktur for genetiske associationer ved hj\u00e6lp af genom- og transkriptomd\u00e6kkende associationsstudier (GWAS og TWAS).<\/span><\/p>\n

Form\u00e5let var at finde ud af, hvordan hjertets struktur er forbundet med genetik, og dermed \u00e5bne muligheder for at udforske, hvordan genetik p\u00e5virker organdannelse og -struktur. <\/span><\/p>\n

Det kan fremme forskningen i forskellige former for genetisk betingede medf\u00f8dte hjertesygdomme.\u00a0<\/span><\/p>\n

Her er en kort gennemgang af, hvordan det fungerede:<\/span><\/p>\n

    \n
  1. Indsamling og forberedelse af data<\/b>: Teamet begyndte med at udnytte UK Biobank-databasen og valgte over 50.000 tredimensionelle MR-billeder af hjertet. Disse billeder gav de grundl\u00e6ggende data til analyse af venstre ventrikels struktur og morfologi.<\/span><\/li>\n
  2. Tr\u00e6ning af uoverv\u00e5gede modeller<\/b>: Forskerne brugte derefter uoverv\u00e5gede deep learning-modeller til at l\u00e6re strukturer fra disse billeder, hvilket betyder, at modellerne identificerede m\u00f8nstre og funktioner i dataene uden forudg\u00e5ende m\u00e6rkning.\u00a0<\/span><\/li>\n
  3. Udtr\u00e6kning af geometriske funktioner<\/b>: Med de uoverv\u00e5gede modeller p\u00e5 plads fokuserede teamet derefter p\u00e5 at udtr\u00e6kke geometriske tr\u00e6k fra billeder, der repr\u00e6senterer den venstre ventrikel, og som stammer fra MR-dataene fra hjertet.\u00a0<\/span><\/li>\n
  4. Genomd\u00e6kkende og transkriptomd\u00e6kkende associationsstudier (GWAS og TWAS)<\/b>: Bev\u00e6bnet med de ekstraherede funktioner udf\u00f8rte forskerne omfattende GWAS og TWAS. Disse analyser gjorde det muligt for dem at teste sammenh\u00e6ngen mellem genetik og venstre ventrikels struktur.\u00a0<\/span><\/li>\n
  5. Resultater<\/b>: 49 nye genetiske steder blev identificeret med st\u00e6rke associationer til hjertets morfologi, og yderligere 25 var moderat associerede.\u00a0<\/span><\/li>\n<\/ol>\n

    Professor Alejandro F. Frangi forklarede unders\u00f8gelsen: \"Dette er en bedrift, som engang ville have virket som science fiction, men vi viser, at det er fuldt ud muligt at bruge AI til at forst\u00e5 det genetiske grundlag for venstre hjertekammer, bare ved at se p\u00e5 tredimensionelle billeder af hjertet.\"\u00a0<\/span><\/p>\n

    At skrive p\u00e5 <\/span>University of Manchesters blog<\/span><\/a>Frangi diskuterede begr\u00e6nsningerne i tidligere unders\u00f8gelser og de gennembrud, som disse nyere metoder har muliggjort: \"Tidligere studier har kun unders\u00f8gt sammenh\u00e6ngen mellem traditionelle kliniske f\u00e6notyper ... Men dette studie brugte ikke kun kunstig intelligens til at afgr\u00e6nse hjertekamrene fra tredimensionelle medicinske billeder i h\u00f8jt tempo, men ogs\u00e5 til at afsl\u00f8re nye genetiske loci, der er forbundet med forskellige dybe kardiovaskul\u00e6re f\u00e6notyper.\"<\/span><\/p>\n

    Unders\u00f8gelsens resultater giver indsigt i det genetiske grundlag for hjerte-kar-sundhed og \u00e5bner nye muligheder for at udvikle m\u00e5lrettede terapier og pr\u00e6cisionsmedicin.\u00a0<\/span><\/p>\n

    Som professor Bryan Williams fra British Heart Foundation beskrev det: \"Denne nye forskning viser den enorme kraft i big data, der forbinder gener med hjertets struktur. Maskinl\u00e6ring har gjort dette muligt ved at \u00e6ndre, hvordan vi behandler, analyserer og f\u00e5r indsigt i big data for at tackle de st\u00f8rste sp\u00f8rgsm\u00e5l inden for kardiovaskul\u00e6r forskning.\"\u00a0<\/span><\/p>\n

    AI-modeller er tidligere blevet brugt til at producere detaljerede 3D-kort over organer, herunder den menneskelige hjerne, som f.eks. i EU's <\/span>Human Brain Project (HBP) i stor skala<\/span><\/a>.\u00a0<\/span><\/p>\n

    Dette g\u00e5r et skridt videre i forhold til at forbinde genetik med organstruktur og giver en dybere forst\u00e5else af hjertets morfologi og dets genetiske drivkr\u00e6fter.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Et internationalt forskerhold har brugt kunstig intelligens til at unders\u00f8ge, hvordan genetik p\u00e5virker strukturen i hjertets venstre ventrikel. Unders\u00f8gelsen, der blev offentliggjort i Nature, blev udf\u00f8rt af University of Manchester i samarbejde med University of Leeds, National Scientific and Technical Research Council i Argentina og IBM Research i Californien. Forskerne brugte uoverv\u00e5get deep learning til at analysere over 50.000 3D MR-billeder fra UK Biobank, hvilket skabte et grundlag for at analysere specifikke omr\u00e5der af hjertets struktur for genetiske associationer ved hj\u00e6lp af genom- og transkriptomd\u00e6kkende associationsstudier (GWAS og TWAS). Form\u00e5let var at finde ud af, hvordan hjertets struktur er forbundet med<\/p>","protected":false},"author":2,"featured_media":10680,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[203,204,178],"class_list":["post-10679","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-biotech","tag-healthcare","tag-medicine"],"yoast_head":"\nResearchers use AI to explore how genetics influence cardiac structure | DailyAI<\/title>\n<meta name=\"description\" content=\"An international research team used AI to explore how genetics influence the structure of the heart's left ventricle.\" \/>\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\/da\/2024\/03\/researchers-use-ai-to-explore-how-genetics-influence-cardiac-structure\/\" 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