Multimodal Glucose Prediction in Type 2 Diabetes

Part of paid clinical trials in Baltimore, Maryland.

Sponsor
Johns Hopkins University
Study ID
NCT07633171
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 75 Years
Healthy Volunteers
Not accepted

Interventions

  • Digital Health Data Collection System — DEVICE
    Participants will use a digital health data collection system that includes the Welldoc app, a Samsung smartwatch, and the participant's existing continuous glucose monitor. The system will collect CGM data, smartwatch-derived activity, sleep, and vital sign data, and app-based behavioral information such as meals, physical activity, and medication use. Participants will continue usual diabetes care and will not receive treatment recommendations from the study team. Data will be used to develop and validate glucose prediction models and AI-generated research outputs that will be reviewed by the study team and not delivered to participants.

Study Details

The primary objective of this research, funded by Samsung Strategic Alliance for Research and Technology, is to develop multi-modal foundation models that integrate Continuious 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 Dates

Start date
Jun 15, 2026
Status verified
Jun 2026
Primary completion
Jan 15, 2027
Completion
Feb 26, 2027

Study Design

Enrollment
36 participants (estimated)

Arms

  • Arm: Adults With Type 2 Diabetes Using CGM
    Adults with type 2 diabetes receiving care through Johns Hopkins Medicine will participate in a single site observational cohort study. Participants will continue usual diabetes care and will not receive a treatment intervention from the study team. Participants will contribute CGM, smartwatch, app-based behavioral, and electronic medical record data for development and validation of glucose prediction models. Study-generated messages and summary reports will be reviewed by the study team and will not be delivered to participants.

Primary Outcome Measure

Root Mean Square Error of CGM Glucose Prediction Model [ Time Frame: Up to 3 Month follow-up ]

Central Contacts

Locations (1)

FacilityCityStateZIP
Johns Hopkins MedicineBaltimoreMaryland21287

Find similar trials in Baltimore, MD

By condition
Type 2 diabetes
By specialty
EndocrinologyMetabolic healthWeight loss
By research site
Johns Hopkins Medicine· Baltimore, MD

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