AI modalities, such as machine learning (Random Forest, XGBoost), deep learning (CNNs), and reinforcement learning (Q-learning), analyze genetic, clinical, and lifestyle data to predict T2D risk (area under the curve {AUC} up to 0.96) and support retinopathy screening or insulin dosing [30]. The gene discussed is INS; the disease is type 2 diabetes mellitus.