Multimodal Glucose Prediction in Type 2 Diabetes

StatusRecruiting
PhaseNot specified
Started

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Record History

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  1. Recruitment opened
    • Start date changed from estimate of Oct 1, 2026 to Oct 7, 2026
    • Site details revised
  2. Start date: Sep 15, 2026 to Oct 1, 2026
    • Eligibility criteria expanded, about 24 words
    • Secondary endpoints: details revised at 10 of 10 entries
    • Publications: details revised at 1 of 1 entry
  3. Start date: Jun 15, 2026 to Sep 15, 2026v3
  4. Re-verified, no change to tracked fieldsv2
  5. Study First Submitted
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT07633171
Lead Sponsor Johns Hopkins University
Collaborators: Samsung Research America, Welldoc
Conditions
(from sponsor)		 Type 2 Diabetes
Related terms Diabetes Mellitus, Type 2
Enrollment 36 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov