A metabolite-augmented FIB-4 machine learning panel achieves superior liver fibrosis staging in chronic liver disease - PubMed
5 hours ago
- #Machine Learning
- #Liver Fibrosis
- #Metabolomics
- The study introduces Met-FIB, a metabolite-augmented machine learning panel that improves liver fibrosis staging in chronic liver disease.
- Met-FIB integrates FIB-4 parameters with tyrosine and taurocholic acid, identified from a CHB cohort, and is validated in additional CHB and MASLD cohorts.
- It outperforms existing methods like FIB-4 and FibroScan, achieving high sensitivity and specificity for significant fibrosis, advanced fibrosis, and cirrhosis.
- Met-FIB demonstrates clinical utility for non-invasive fibrosis staging across diverse etiologies, including MASLD and CHB.