Multimodal Glucose Prediction in Type 2 Diabetes

The primary objective of this research, funded by Samsung Strategic Alliance for Research and Technology, is to develop multi-modal foundation models that integrate Continuous Glucose Monitoring (CGM) data with patient behavior data (food intake, medication, and physical activity) to improve real-time glucose prediction and personalized diabetes management for patients with Type 2 diabetes (T2D), delivered via mobile apps and digital health tools.

NCT Number	NCT07633171
Lead Sponsor	Johns Hopkins University Collaborators: Samsung Research America, Welldoc
Conditions	Type 2 Diabetes
Enrollment	36 participants
Start Date	2026-06-15
Primary Completion	2027-01-15 (estimated)
Study Completion	2027-02-26 (estimated)
Updated on ClinicalTrials.gov	2026-06-09