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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.
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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 |