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The quest for the missing links in fatty liver genetics: Deep learning to the rescue!

Park, MacLean, et al. conduct an exome-wide association study of liver fat content in the Penn Medicine BioBank.(1) By leveraging machine learning-assisted analysis of clinical CT scans to quantify steatosis, they uncover previously undescribed liver fat-associated genetic variants.

Detalles Bibliográficos
Autores principales: Qadri, Sami, Yki-Järvinen, Hannele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798017/
https://www.ncbi.nlm.nih.gov/pubmed/36543096
http://dx.doi.org/10.1016/j.xcrm.2022.100862