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Updated: Jan 9, 2026

Mouse Model of Metabolic Dysfunction-Associated Steatotic Liver Disease with Fibrosis
Published on: July 18, 2025
Machine learning to predict metabolic-associated fatty liver disease.
Ottavia Cicerone1, Marcello Maestri2
1Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia 27100, Italy.
Machine learning accurately predicts fatty liver disease (MAFLD) in high-risk individuals using clinical factors and traditional Chinese medicine features. This approach aids early detection and personalized management of this common liver condition.
Area of Science:
- Hepatology and Artificial Intelligence
Background:
- Metabolic-associated fatty liver disease (MAFLD) is the leading cause of chronic liver disease globally, often diagnosed late.
- Early detection of MAFLD is crucial for effective management and preventing progression.
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