Additionally, they developed an ML-based model for predicting adverse outcomes in patients with symptomatic aortic stenosis and HFpEF after transcatheter aortic valve replacement using predictors, including age, NT-proBNP, fasting blood glucose, triglyceride or HDL ratio, and apolipoprotein B [34]. The gene discussed is NPPB; the disease is aortic stenosis.