AKR1B10 and metabolic dysfunction-associated steatohepatitis: Among these, the RF algorithm emerged as the most effective, identifying the minimum number of genes (AKR1B10, TYMS, and TREM2) and yielding the most accurate predictive model for NASH diagnosis.