Multimodal Glucose Prediction in Type 2 Diabetes

Starting soon

Conditions studied: Type 2 Diabetes

In brief

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.

Key facts

Study ID
NCT07633171
Run by
Johns Hopkins University
People needed
36
Starts
2026-06-15
Expected to finish
2027-02-26
Last updated by the study team
2026-06-09

Who can join

Age: 18 and older, up to 75. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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