{"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\/de\/2024\/03\/researchers-use-ai-to-explore-how-genetics-influence-cardiac-structure\/","title":{"rendered":"Forscher erforschen mithilfe von KI, wie die Genetik die Herzstruktur beeinflusst"},"content":{"rendered":"

Ein internationales Forscherteam hat mithilfe von KI untersucht, wie die Genetik die Struktur der linken Herzkammer beeinflusst.<\/b><\/p>\n

Die <\/span>Studie<\/span><\/a>Die in der Zeitschrift Nature ver\u00f6ffentlichte Studie wurde von der Universit\u00e4t Manchester in Zusammenarbeit mit der Universit\u00e4t Leeds, dem Nationalen Wissenschaftlichen und Technischen Forschungsrat in Argentinien und IBM Research in Kalifornien durchgef\u00fchrt.<\/span><\/p>\n

Die Forscher nutzten un\u00fcberwachtes Deep Learning zur Analyse von \u00fcber 50.000 3D-MRT-Bildern aus der UK Biobank und schufen damit eine Grundlage f\u00fcr die Analyse spezifischer Bereiche der Herzstruktur auf genetische Assoziationen mittels genomweiter und transkriptomweiter Assoziationsstudien (GWAS und TWAS).<\/span><\/p>\n

Ziel war es festzustellen, wie die Struktur des Herzens mit der Genetik zusammenh\u00e4ngt, und so zu erforschen, wie die Genetik die Organbildung und -struktur beeinflusst. <\/span><\/p>\n

Dies k\u00f6nnte die Erforschung von Formen genetisch bedingter angeborener Herzkrankheiten f\u00f6rdern.\u00a0<\/span><\/p>\n

Hier ist eine kurze Zusammenfassung, wie es funktioniert hat:<\/span><\/p>\n

    \n
  1. Datenerhebung und -aufbereitung<\/b>: Das Team nutzte zun\u00e4chst die Datenbank der UK Biobank und w\u00e4hlte \u00fcber 50 000 dreidimensionale MRT-Bilder des Herzens aus. Diese Bilder lieferten die grundlegenden Daten f\u00fcr die Analyse der Struktur und Morphologie des linken Ventrikels.<\/span><\/li>\n
  2. Training von un\u00fcberwachten Modellen<\/b>: Die Forscher verwendeten dann unbeaufsichtigte Deep-Learning-Modelle, um Strukturen aus diesen Bildern zu lernen, d. h. die Modelle erkannten Muster und Merkmale in den Daten ohne vorherige Kennzeichnung.\u00a0<\/span><\/li>\n
  3. Extraktion von geometrischen Merkmalen<\/b>: Nach der Erstellung der un\u00fcberwachten Modelle konzentrierte sich das Team auf die Extraktion geometrischer Merkmale aus Bildern der linken Herzkammer, die aus den MRT-Daten abgeleitet wurden.\u00a0<\/span><\/li>\n
  4. Genomweite und transkriptomweite Assoziationsstudien (GWAS und TWAS)<\/b>: Ausgestattet mit den extrahierten Merkmalen f\u00fchrten die Forscher umfassende GWAS und TWAS durch. Diese Analysen erm\u00f6glichten es ihnen, die Assoziation zwischen Genetik und der Struktur des linken Ventrikels zu testen.\u00a0<\/span><\/li>\n
  5. Ergebnisse<\/b>: Es wurden 49 neue Genorte identifiziert, die stark mit der Morphologie des Herzens assoziiert sind, und weitere 25 waren m\u00e4\u00dfig assoziiert.\u00a0<\/span><\/li>\n<\/ol>\n

    Professor Alejandro F. Frangi erl\u00e4uterte die Studie: \"Dies ist eine Errungenschaft, die fr\u00fcher wie Science-Fiction erschienen w\u00e4re, aber wir zeigen, dass es durchaus m\u00f6glich ist, mithilfe von KI die genetischen Grundlagen der linken Herzkammer zu verstehen, indem man sich einfach dreidimensionale Bilder des Herzens ansieht.\"\u00a0<\/span><\/p>\n

    Schreiben auf dem <\/span>Der Blog der Universit\u00e4t Manchester<\/span><\/a>Frangi er\u00f6rterte die Grenzen fr\u00fcherer Studien und die Durchbr\u00fcche, die diese neueren Methoden erm\u00f6glichen: \"Fr\u00fchere Studien haben nur die Assoziation traditioneller klinischer Ph\u00e4notypen untersucht... In dieser Studie wurde die KI jedoch nicht nur eingesetzt, um die Herzkammern aus dreidimensionalen medizinischen Bildern mit hoher Geschwindigkeit abzugrenzen, sondern auch, um neue genetische Loci aufzudecken, die mit verschiedenen kardiovaskul\u00e4ren Tiefenph\u00e4notypen assoziiert sind.\"<\/span><\/p>\n

    Die Ergebnisse der Studie bieten Einblicke in die genetischen Grundlagen der kardiovaskul\u00e4ren Gesundheit und er\u00f6ffnen neue Wege f\u00fcr die Entwicklung gezielter Therapien und Pr\u00e4zisionsmedizin.\u00a0<\/span><\/p>\n

    Professor Bryan Williams von der British Heart Foundation beschrieb: \"Diese neue Forschung zeigt die enorme Leistungsf\u00e4higkeit von Big Data, die Gene mit der Herzstruktur verkn\u00fcpfen. Das maschinelle Lernen hat dies m\u00f6glich gemacht, indem es die Art und Weise ver\u00e4ndert hat, wie wir gro\u00dfe Daten verarbeiten, analysieren und Erkenntnisse daraus gewinnen, um die gr\u00f6\u00dften Fragen in der Herz-Kreislauf-Forschung anzugehen\".\u00a0<\/span><\/p>\n

    KI-Modelle wurden bereits f\u00fcr die Erstellung detaillierter 3D-Karten von Organen, einschlie\u00dflich des menschlichen Gehirns, eingesetzt, wie z. B. im EU-Projekt <\/span>Gro\u00df angelegtes Human Brain Project (HBP)<\/span><\/a>.\u00a0<\/span><\/p>\n

    Dies geht einen Schritt weiter bei der Verkn\u00fcpfung von Genetik und Organstruktur und bietet ein tieferes Verst\u00e4ndnis der Herzmorphologie und ihrer genetischen Faktoren.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Ein internationales Forscherteam hat mithilfe von KI untersucht, wie die Genetik die Struktur der linken Herzkammer beeinflusst. Die in Nature ver\u00f6ffentlichte Studie wurde von der University of Manchester in Zusammenarbeit mit der University of Leeds, dem National Scientific and Technical Research Council in Argentinien und IBM Research in Kalifornien durchgef\u00fchrt. Die Forscher nutzten un\u00fcberwachtes Deep Learning, um mehr als 50.000 3D-MRT-Bilder aus der UK Biobank zu analysieren, und schufen damit eine Grundlage f\u00fcr die Analyse bestimmter Bereiche der Herzstruktur auf genetische Assoziationen mit Hilfe genomweiter und transkriptomweiter Assoziationsstudien (GWAS und TWAS). Ziel war es, festzustellen, wie die Struktur des Herzens zusammenh\u00e4ngt<\/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\/de\/2024\/03\/researchers-use-ai-to-explore-how-genetics-influence-cardiac-structure\/\" 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