Li Zhong

Targeted metabolomic profiling and machine learning-based prediction models for persistent atrial fibrillation: a multi-center observational study

This study identified eight PerAF-related metabolites via targeted metabolomics and ML, and developed accurate predictive models (including a simplified, clinically feasible model) with favorable predictive performance for PerAF risk stratification.