Machine Learning Models for Predicting Acute Liver Failure Outcomes

Abstract

This study examined associations between gut microbiota–derived metabolites and colorectal cancer risk. Fecal and serum samples from patients and controls were analyzed using metabolomic profiling. Specific metabolites were strongly associated with tumor presence and stage. The results suggest that microbiota-derived metabolites may serve as novel biomarkers for colorectal cancer detection.