As such, our primary objective in this study was to compare individualized treatment selection strategies based on predicted treatment effects from a causal forest algorithm and a penalized regression model, using the clinically relevant context of selecting between SGLT2-i and DPP4-i therapy for people with type 2 diabetes. The gene discussed is SLC5A2; the disease is type 2 diabetes mellitus.