Machine learning enables new insights into genetic contributions to liver fat accumulation

Excess liver fat, called hepatic steatosis, is a leading risk factor for end-stage liver disease and cardiometabolic diseases but often remains undiagnosed in clinical practice because of the need for direct imaging assessments. We developed an abdominal MRI-based machine-learning algorithm to accur...

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Detalles Bibliográficos
Autores principales: Haas, Mary E., Pirruccello, James P., Friedman, Samuel N., Wang, Minxian, Emdin, Connor A., Ajmera, Veeral H., Simon, Tracey G., Homburger, Julian R., Guo, Xiuqing, Budoff, Matthew, Corey, Kathleen E., Zhou, Alicia Y., Philippakis, Anthony, Ellinor, Patrick T., Loomba, Rohit, Batra, Puneet, Khera, Amit V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699145/
https://www.ncbi.nlm.nih.gov/pubmed/34957434
http://dx.doi.org/10.1016/j.xgen.2021.100066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699145/
https://www.ncbi.nlm.nih.gov/pubmed/34957434
http://dx.doi.org/10.1016/j.xgen.2021.100066

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