Predicting Blood Sugar From Glucose Sensor and Daily Habit Data in Type 2 Diabetes
Builds models predicting blood sugar from sensor and habit data in type 2 diabetes.
Plain-language title generated from the registry record
Registry title: Multimodal Glucose Prediction in Type 2 Diabetes
Key facts
- Where
- Baltimore, United StatesSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 75 years old?
Source: NCT07633171, who can take part
Where in United States
- Johns Hopkins MedicineBaltimore, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Johns Hopkins University
- Trial code
- NCT07633171
- Record updated
- 8 October 2026
- Original description
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.Read full original descriptionShow less
CGM- and Behavior-based Large Health Model for Just-in-time Diabetes Management
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.
Inclusion: 18-75 years old; Registered patient under Johns Hopkins Medicine (JHM); Type 2 Diabetes diagnosis; Diabetes managed by a primary care physician or endocrinologist at JHM; Android Smartphone user; Must have a Dexcom G7 or FreeStyle Libre 3 CGM and using a mobile app to access their CGM data (G7 or Libre 3 apps); 2 weeks of usage (with at least 50% wear time) prior to study participation required; CGM Time in Range of <70% in 14 days prior to enrollment; Must be able to read, understand, and communicate in English; Must not have hearing or vision impairments; Willingness to Download the Welldoc app; Agree to wear a SAMSUNG Galaxy Watch at least 12 hours per day; Download SAMSUNG Health (Non-SAMSUNG Phone user); Download Google Health Connect; Use CGM at least 80% of the time; Take a photo of all meals.
Exclusion: CGM time-below-range > 4% (i.e. hypoglycemia) in the 14 days prior to enrollment; Hospitalization for Diabetic Ketoacidosis (DKA) or severe hypoglycemic episode within the previous 6 months; Has hearing or vision impairment; Diagnosed with other forms of diabetes (e.g. Type 1 Diabetes, Latent Autoimmune Diabetes in Adults (LADA), Maturity-Onset Diabetes of the Young (MODY), or Gestational diabetes); Pregnant; Non-English speaker; Use of an insulin pump (i.e. automated insulin delivery system); Non-Android smartphone user (i.e., Apple iOS).