Multimodal Glucose Prediction for Type 2 Diabetes
Official title: CGM- and Behavior-based Large Health Model for Just-in-time Diabetes Management
Run by Johns Hopkins University · NCT07633171 · Data updated 2026-11-12
This study tests whether a multi-modal model that combines CGM data with patient behaviors can better predict glucose levels for adults with type 2 diabetes using mobile apps and wearable devices.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 75 Years |
| Sex | All |
| Enrollment | 36 (estimated) |
| Sponsor | Johns Hopkins University Academic / other |
| Locations | 1 site (Baltimore, Maryland) |
| Status | Recruiting |
| Started | October 7, 2026 |
| Main results expected | January 15, 2027 |
| Study ends | February 26, 2027 |
| Registry record updated | October 8, 2026 |
| Trial ID | NCT07633171 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18-75 with type 2 diabetes managed at Johns Hopkins Medicine, using CGM devices, Android smartphones, and compatible wearables/apps, and willing to participate in digital health data collection.
✕Probably not a fit
Participants who do not wear CGM consistently or fail to meet data-sharing requirements may not experience direct benefit from the study outcomes.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to build foundation models that integrate continuous glucose monitoring with behavioral data such as food intake, medications, and physical activity to improve real-time glucose predictions. Participants are adults with type 2 diabetes who use CGM devices and smartphones, and who are willing to wear a Galaxy Watch and use specified health apps. The research is conducted under Johns Hopkins University with collaboration from Samsung Research America and Welldoc, deploying digital health data collection and analysis to develop personalized diabetes management insights. Data collection emphasizes real-world usage through mobile and wearable platforms to inform future digital health interventions. The study does not test an intervention in the traditional sense but analyzes multi-modal data to enhance predictive modeling for glycemic control.
Why it matters
Potential benefit: If successful, patients could receive more accurate glucose predictions and personalized guidance via mobile tools to improve diabetes management.
How similar studies have gone: Previous work in CGM and behavioral data integration has shown promise in improving glucose prediction, though this exact multi-modal foundation-model approach is relatively novel in this setting.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * 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 Criteria: * Pregnant * Non-English speaker * Has hearing or vision impairment * Use of an insulin pump (i.e. automated insulin delivery system) * 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) * Non-Android smartphone user (i.e., Apple iOS) * 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.
Where it's running
-
Johns Hopkins Medicine
Baltimore, Maryland, United States Recruiting
Study contacts
- Principal investigator: Nestoras Mathioudakis, MD, MHS — Johns Hopkins University
- Study coordinator: Nestoras Mathioudakis, MD, MHS
- Email: nmathio1@jhmi.edu
- Phone: 410-955-3663
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Acute Blood Flow Restriction Walking in Type 2 Diabetes
This study tests whether adding blood flow restriction to treadmill walking affects immune cells in adults with type 2 diabetes.
-
Continuous Glucose Monitoring in Type 2 Diabetes Not on Insulin
This study tests whether using a continuous glucose monitoring system helps people with type 2 diabetes who aren’t using insulin to improve blood sugar control and quality of life.
-
Differentiating heart disease in autoimmune vs. type 2 diabetes
This study tests whether adult-onset autoimmune diabetes (AID/LADA) and type 2 diabetes (T2D) differ in how diabetic heart disease develops, using advanced heart imaging in people with AID, T2D, and healthy controls.
-
Lifestyle Metabotype Study B: Understanding Personalized Glucose Responses
This study tests how lifestyle, metabolism, and brain energy use relate to each person’s blood sugar response after meals, across people with and without prediabetes or type 2 diabetes.
-
Lifestyle Metabotype Study: How Daily Habits Shape Blood Sugar
This observational study tests whether personal lifestyle and biological factors can predict how a person’s blood sugar responds after meals.
-
Switching to Zenagamtide From Tirzepatide in Adults With Overweight or Obesity With or Without Type 2 Diabetes
This study tests whether adults who are overweight or have obesity (with or without type 2 diabetes) can switch from tirzepatide to a new treatment called zenagamtide to find a tolerable dose.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.