Outcome-Driven Personalized Treatment Design for Managing Diabetes
This work is joint with Grady Health Systems and Morehouse School of Medicine. We present a drug-effect-based personalized approach to improve treatment outcome for diabetic patients. First, a pharmacokinetic and pharmacodynamics (PK/PD) model is established to uncover drug effect based on analysis of anti-diabetic drug dosage and the blood glucose level recorded in the titration period of each patient. This personalized evidence is then utilized within a treatment plan model that optimizes the glycemic control and drug dosage. The optimized plans provide better glycemic control while using less drug.