{"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\/pt\/2024\/03\/researchers-use-ai-to-explore-how-genetics-influence-cardiac-structure\/","title":{"rendered":"Os investigadores utilizam a IA para explorar a forma como a gen\u00e9tica influencia a estrutura card\u00edaca"},"content":{"rendered":"

Uma equipa de investiga\u00e7\u00e3o internacional utilizou a IA para explorar a forma como a gen\u00e9tica influencia a estrutura do ventr\u00edculo esquerdo do cora\u00e7\u00e3o.<\/b><\/p>\n

O <\/span>estudo<\/span><\/a>O estudo, publicado na revista Nature, foi realizado pela Universidade de Manchester em colabora\u00e7\u00e3o com a Universidade de Leeds, o Conselho Nacional de Investiga\u00e7\u00e3o Cient\u00edfica e T\u00e9cnica da Argentina e a IBM Research da Calif\u00f3rnia.<\/span><\/p>\n

Os investigadores utilizaram a aprendizagem profunda n\u00e3o supervisionada para analisar mais de 50 000 imagens de resson\u00e2ncia magn\u00e9tica 3D do UK Biobank, criando uma base para analisar \u00e1reas espec\u00edficas da estrutura do cora\u00e7\u00e3o para associa\u00e7\u00f5es gen\u00e9ticas utilizando estudos de associa\u00e7\u00e3o de todo o genoma e de todo o transcriptoma (GWAS e TWAS).<\/span><\/p>\n

O seu objetivo era determinar de que forma a estrutura do cora\u00e7\u00e3o est\u00e1 ligada \u00e0 gen\u00e9tica, abrindo assim vias para explorar o impacto da gen\u00e9tica na forma\u00e7\u00e3o e estrutura dos \u00f3rg\u00e3os. <\/span><\/p>\n

Isto poder\u00e1 contribuir para a investiga\u00e7\u00e3o de formas de doen\u00e7a card\u00edaca cong\u00e9nita geneticamente influenciadas.\u00a0<\/span><\/p>\n

Eis um breve resumo de como funcionou:<\/span><\/p>\n

    \n
  1. Recolha e prepara\u00e7\u00e3o de dados<\/b>: A equipa come\u00e7ou por utilizar a base de dados do Biobanco do Reino Unido, seleccionando mais de 50 000 imagens tridimensionais de resson\u00e2ncia magn\u00e9tica do cora\u00e7\u00e3o. Estas imagens forneceram os dados fundamentais para analisar a estrutura e a morfologia do ventr\u00edculo esquerdo.<\/span><\/li>\n
  2. Forma\u00e7\u00e3o de modelos n\u00e3o supervisionados<\/b>: Os investigadores utilizaram ent\u00e3o modelos de aprendizagem profunda n\u00e3o supervisionados para aprender estruturas a partir destas imagens, o que significa que os modelos identificaram padr\u00f5es e caracter\u00edsticas nos dados sem rotulagem pr\u00e9via.\u00a0<\/span><\/li>\n
  3. Extra\u00e7\u00e3o de caracter\u00edsticas geom\u00e9tricas<\/b>: Com os modelos n\u00e3o supervisionados prontos, a equipa concentrou-se ent\u00e3o na extra\u00e7\u00e3o de caracter\u00edsticas geom\u00e9tricas de imagens que representam o ventr\u00edculo esquerdo derivadas dos dados de resson\u00e2ncia magn\u00e9tica card\u00edaca.\u00a0<\/span><\/li>\n
  4. Estudos de associa\u00e7\u00e3o de todo o genoma e de todo o transcriptoma (GWAS e TWAS)<\/b>: Munidos das caracter\u00edsticas extra\u00eddas, os investigadores efectuaram GWAS e TWAS exaustivos. Estas an\u00e1lises permitiram-lhes testar a associa\u00e7\u00e3o entre a gen\u00e9tica e a estrutura do ventr\u00edculo esquerdo.\u00a0<\/span><\/li>\n
  5. Resultados<\/b>: Foram identificadas 49 novas localiza\u00e7\u00f5es gen\u00e9ticas com fortes associa\u00e7\u00f5es com a morfologia do cora\u00e7\u00e3o e outras 25 com associa\u00e7\u00f5es moderadas.\u00a0<\/span><\/li>\n<\/ol>\n

    O Professor Alejandro F. Frangi explicou o estudo afirmando: \"Este \u00e9 um feito que outrora teria parecido fic\u00e7\u00e3o cient\u00edfica, mas mostramos que \u00e9 completamente poss\u00edvel utilizar a IA para compreender a base gen\u00e9tica do ventr\u00edculo esquerdo, apenas olhando para imagens tridimensionais do cora\u00e7\u00e3o\".\u00a0<\/span><\/p>\n

    Escrever sobre o <\/span>Blogue da Universidade de Manchester<\/span><\/a>Frangi discutiu as limita\u00e7\u00f5es dos estudos anteriores e os avan\u00e7os possibilitados por estes m\u00e9todos mais recentes: \"No entanto, este estudo utilizou a IA n\u00e3o s\u00f3 para delinear as c\u00e2maras card\u00edacas a partir de imagens m\u00e9dicas tridimensionais, mas tamb\u00e9m para revelar novos loci gen\u00e9ticos associados a v\u00e1rios fen\u00f3tipos cardiovasculares profundos\".<\/span><\/p>\n

    As conclus\u00f5es do estudo oferecem uma vis\u00e3o dos fundamentos gen\u00e9ticos da sa\u00fade cardiovascular e abrem novas vias para o desenvolvimento de terapias direccionadas e da medicina de precis\u00e3o.\u00a0<\/span><\/p>\n

    Como descreveu o Professor Bryan Williams, da British Heart Foundation, \"esta nova investiga\u00e7\u00e3o mostra o enorme poder dos grandes volumes de dados que ligam os genes \u00e0 estrutura do cora\u00e7\u00e3o. A aprendizagem autom\u00e1tica tornou isto poss\u00edvel ao transformar a forma como processamos, analisamos e obtemos informa\u00e7\u00f5es a partir de grandes volumes de dados para responder \u00e0s maiores quest\u00f5es da investiga\u00e7\u00e3o cardiovascular\".\u00a0<\/span><\/p>\n

    Os modelos de IA foram anteriormente utilizados na produ\u00e7\u00e3o de mapas 3D pormenorizados de \u00f3rg\u00e3os, incluindo o c\u00e9rebro humano, como no projeto da UE <\/span>Projeto C\u00e9rebro Humano (HBP) em grande escala<\/span><\/a>.\u00a0<\/span><\/p>\n

    Isto vai um passo mais longe na liga\u00e7\u00e3o da gen\u00e9tica \u00e0 estrutura do \u00f3rg\u00e3o, oferecendo uma compreens\u00e3o mais profunda da morfologia do cora\u00e7\u00e3o e dos seus factores gen\u00e9ticos.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Uma equipa de investiga\u00e7\u00e3o internacional utilizou a IA para explorar a forma como a gen\u00e9tica influencia a estrutura do ventr\u00edculo esquerdo do cora\u00e7\u00e3o. O estudo, publicado na revista Nature, foi realizado pela Universidade de Manchester em colabora\u00e7\u00e3o com a Universidade de Leeds, o Conselho Nacional de Investiga\u00e7\u00e3o Cient\u00edfica e T\u00e9cnica da Argentina e a IBM Research da Calif\u00f3rnia. Os investigadores utilizaram a aprendizagem profunda n\u00e3o supervisionada para analisar mais de 50 000 imagens de RM 3D do UK Biobank, criando uma base para analisar \u00e1reas espec\u00edficas da estrutura do cora\u00e7\u00e3o para associa\u00e7\u00f5es gen\u00e9ticas utilizando estudos de associa\u00e7\u00e3o de todo o genoma e de todo o transcriptoma (GWAS e TWAS). O objetivo era determinar como a estrutura do cora\u00e7\u00e3o est\u00e1 ligada<\/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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