{"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\/sv\/2024\/03\/researchers-use-ai-to-explore-how-genetics-influence-cardiac-structure\/","title":{"rendered":"Forskare anv\u00e4nder AI f\u00f6r att utforska hur genetik p\u00e5verkar hj\u00e4rtats struktur"},"content":{"rendered":"

Ett internationellt forskarlag anv\u00e4nde AI f\u00f6r att unders\u00f6ka hur genetik p\u00e5verkar strukturen i hj\u00e4rtats v\u00e4nstra kammare.<\/b><\/p>\n

Den <\/span>studie<\/span><\/a>som publicerades i Nature, genomf\u00f6rdes av University of Manchester i samarbete med University of Leeds, National Scientific and Technical Research Council i Argentina och IBM Research i Kalifornien.<\/span><\/p>\n

Forskarna anv\u00e4nde o\u00f6vervakad djupinl\u00e4rning f\u00f6r att analysera \u00f6ver 50.000 3D-MRI-bilder fr\u00e5n UK Biobank, vilket skapade en grund f\u00f6r att analysera specifika omr\u00e5den i hj\u00e4rtats struktur f\u00f6r genetiska associationer med hj\u00e4lp av genomomfattande och transkriptomomfattande associationsstudier (GWAS och TWAS).<\/span><\/p>\n

Syftet var att fastst\u00e4lla hur hj\u00e4rtats struktur \u00e4r kopplad till genetik och d\u00e4rmed \u00f6ppna v\u00e4gar f\u00f6r att utforska hur genetik p\u00e5verkar organens bildning och struktur. <\/span><\/p>\n

Detta skulle kunna fr\u00e4mja forskningen kring olika former av genetiskt betingade medf\u00f6dda hj\u00e4rtsjukdomar.\u00a0<\/span><\/p>\n

H\u00e4r \u00e4r en kort genomg\u00e5ng av hur det fungerade:<\/span><\/p>\n

    \n
  1. Datainsamling och f\u00f6rberedelser<\/b>: Teamet b\u00f6rjade med att utnyttja databasen UK Biobank och valde ut \u00f6ver 50.000 tredimensionella MR-bilder av hj\u00e4rtat. Dessa bilder utgjorde grunddata f\u00f6r att analysera v\u00e4nster kammares struktur och morfologi.<\/span><\/li>\n
  2. Utbildning av o\u00f6vervakade modeller<\/b>: Forskarna anv\u00e4nde sedan o\u00f6vervakade modeller f\u00f6r djupinl\u00e4rning f\u00f6r att l\u00e4ra sig strukturer fr\u00e5n dessa bilder, vilket inneb\u00e4r att modellerna identifierade m\u00f6nster och funktioner i data utan f\u00f6reg\u00e5ende m\u00e4rkning.\u00a0<\/span><\/li>\n
  3. Extrahering av geometriska egenskaper<\/b>: Med de o\u00f6vervakade modellerna p\u00e5 plats fokuserade teamet sedan p\u00e5 att extrahera geometriska egenskaper fr\u00e5n bilder som representerar v\u00e4nster kammare som h\u00e4rr\u00f6r fr\u00e5n MR-data fr\u00e5n hj\u00e4rtat.\u00a0<\/span><\/li>\n
  4. Genombreda och transkriptombreda associationsstudier (GWAS och TWAS)<\/b>: Med hj\u00e4lp av de extraherade egenskaperna genomf\u00f6rde forskarna omfattande GWAS- och TWAS-analyser. Dessa analyser gjorde det m\u00f6jligt f\u00f6r dem att testa sambandet mellan genetik och v\u00e4nsterkammarens struktur.\u00a0<\/span><\/li>\n
  5. Resultat<\/b>: 49 nya genetiska platser identifierades med starka samband med hj\u00e4rtats morfologi, och ytterligare 25 hade m\u00e5ttliga samband.\u00a0<\/span><\/li>\n<\/ol>\n

    Professor Alejandro F. Frangi f\u00f6rklarade studien: \"Det h\u00e4r \u00e4r en bedrift som en g\u00e5ng i tiden skulle ha framst\u00e5tt som science fiction, men vi visar att det \u00e4r fullt m\u00f6jligt att anv\u00e4nda AI f\u00f6r att f\u00f6rst\u00e5 det genetiska underlaget f\u00f6r v\u00e4nster kammare, bara genom att titta p\u00e5 tredimensionella bilder av hj\u00e4rtat.\"\u00a0<\/span><\/p>\n

    Att skriva om <\/span>University of Manchesters blogg<\/span><\/a>Frangi diskuterade begr\u00e4nsningarna i tidigare studier och de genombrott som dessa nyare metoder har m\u00f6jliggjort: \"Tidigare studier har bara unders\u00f6kt sambandet mellan traditionella kliniska fenotyper ... Men i den h\u00e4r studien anv\u00e4ndes AI inte bara f\u00f6r att i snabb takt avgr\u00e4nsa hj\u00e4rtkamrarna fr\u00e5n tredimensionella medicinska bilder utan ocks\u00e5 f\u00f6r att avsl\u00f6ja nya genetiska loci som \u00e4r associerade med olika kardiovaskul\u00e4ra djupfenotyper.\"<\/span><\/p>\n

    Studiens resultat ger en inblick i de genetiska grunderna f\u00f6r kardiovaskul\u00e4r h\u00e4lsa och \u00f6ppnar nya v\u00e4gar f\u00f6r att utveckla riktade terapier och precisionsmedicin.\u00a0<\/span><\/p>\n

    Som professor Bryan Williams fr\u00e5n British Heart Foundation beskrev: \"Denna nya forskning visar den enorma kraften i big data som kopplar gener till hj\u00e4rtstruktur. Maskininl\u00e4rning har gjort detta m\u00f6jligt genom att f\u00f6r\u00e4ndra hur vi bearbetar, analyserar och f\u00e5r insikter fr\u00e5n big data f\u00f6r att ta itu med de st\u00f6rsta fr\u00e5gorna inom kardiovaskul\u00e4r forskning.\"\u00a0<\/span><\/p>\n

    AI-modeller har tidigare anv\u00e4nts f\u00f6r att producera detaljerade 3D-kartor av organ, inklusive den m\u00e4nskliga hj\u00e4rnan, till exempel i EU:s <\/span>storskaliga Human Brain Project (HBP)<\/span><\/a>.\u00a0<\/span><\/p>\n

    Detta g\u00e5r ett steg l\u00e4ngre n\u00e4r det g\u00e4ller att koppla genetik till organstruktur, vilket ger en djupare f\u00f6rst\u00e5else f\u00f6r hj\u00e4rtats morfologi och dess genetiska drivkrafter.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Ett internationellt forskarlag har anv\u00e4nt AI f\u00f6r att unders\u00f6ka hur genetik p\u00e5verkar strukturen i hj\u00e4rtats v\u00e4nstra kammare. Studien, som publicerades i Nature, genomf\u00f6rdes av University of Manchester i samarbete med University of Leeds, National Scientific and Technical Research Council i Argentina och IBM Research i Kalifornien. Forskarna anv\u00e4nde o\u00f6vervakad djupinl\u00e4rning f\u00f6r att analysera \u00f6ver 50.000 3D-MRI-bilder fr\u00e5n UK Biobank, vilket skapade en grund f\u00f6r att analysera specifika omr\u00e5den i hj\u00e4rtats struktur f\u00f6r genetiska associationer med hj\u00e4lp av genomomfattande och transkriptomomfattande associationsstudier (GWAS och TWAS). Syftet var att fastst\u00e4lla hur hj\u00e4rtats struktur \u00e4r kopplad till<\/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\" 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