A Proof-of-Concept Simulation-Driven Digital Twin Framework for Decision-Aware Diabetes Modeling

This work presents a proof-of-concept simulation-driven digital twin framework for diabetes modeling and decision-aware analysis. The proposed framework integrates machine learning, temporal modeling, and counterfactual simulation to explore short-term health trajectory prediction and intervention-aware behavior. The study demonstrates how predictive analytics and simulation-driven modeling can be combined within a reproducible research framework for future healthcare digital twin systems.