Machine learning-based integration reveals reliable biomarkers and potential mechanisms of NASH progression to fibrosis

Machine learning-based integration reveals reliable biomarkers and potential mechanisms of NASH progression to fibrosis

Abstract Non-alcoholic fatty liver disease (NAFLD) affects about 25% of adults worldwide. Its advanced form, non-alcoholic steatohepatitis (NASH), is a major cause of liver fibrosis, but there are no non-invasive tests for diagnosing or preventing it. In our study, we analyzed data from multiple sou...

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Bibliographic Details
Main Authors: Jiahui Feng, Zheng Gong, Jialing Yang, Yuting Mo, Fengqian Song
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Machine learning
NASH
Fibrosis
Biomarkers
Immune microenvironment
Online Access:https://doi.org/10.1038/s41598-025-97670-4
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