One-Year Outcomes of a Digital Twin Intervention for Type 2 Diabetes

Abstract

This presentation examines a retrospective, real-world study evaluating the effectiveness of a digital twin intervention for individuals with Type 2 Diabetes (T2D). Conducted over one year with 1,853 participants, the intervention utilized a combination of continuous glucose monitoring (CGM), fitness tracking devices, smart scales, and a mobile app to deliver AI-guided nutritional strategies. The program was structured into three phases: a 90-day restricted diet, a 90-day reintroduction phase, and a 185-day AI-guided normal diet. Primary outcome measures included HbA1c reduction, medication use, and weight loss. The average participant experienced a 1.8% drop in HbA1c, with 83% falling below the diabetic threshold and more than half discontinuing diabetes medications. Weight loss averaged 10 pounds. These findings support the viability of digital twins in chronic disease management and provide a foundation for future research integrating behavioral dimensions like sleep, stress, and activity into similar intervention models.