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

1 Dec 2021

Abstract excerpt

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 accurately estimate liver fat (correlation coefficients, 0.97–0.99) from a truth dataset of 4,511 middle-aged UK Biobank...

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Endoplasmic Reticulum Stress and Disease
Genetic Associations and Epidemiology
Liver Disease Diagnosis and Treatment

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34957434
DOI: 10.1016/j.xgen.2021.100066

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