RecruitingType 2 Diabetes
Multimodal Glucose Prediction in Type 2 Diabetes
Eligible age
18–75 yrs
Accepts
All genders
Locations
1 state
Healthy volunteers
No
See if you qualify for this study
Answer a few quick questions about your location and health. Takes about a minute.
About this study
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.
Sponsor: Johns Hopkins University
You may qualify if…
- ✓ 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
You may not qualify if…
- ✕ 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 recruiting
Maryland
Baltimore
Source: ClinicalTrials.gov · NCT07633171 · last updated 2026-10-08