SnapD plus CGM to help adults with type 2 diabetes and overweight manage blood sugar
The Effectiveness of an AI-powered Thai Food Analysis (SnapD) and Continuous Glucose Monitoring on Glycemic Control in Patients With Type 2 Diabetes and Overweight or Obesity: A Randomized Controlled Pilot Study
This pilot tests whether SnapD, an AI app that recognizes Thai food, alone or together with a continuous glucose monitor (CGM), can help adults with type 2 diabetes and overweight or obesity lower their blood sugar.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 45 (estimated) |
| Ages | 18 Years to 65 Years |
| Sex | All |
| Sponsor | Ramathibodi Hospital Academic / other |
| Locations | 1 site (Bangkok, Bangkok) |
| Trial ID | NCT07533604 on ClinicalTrials.gov |
What this trial studies
This is a randomized, controlled pilot at Ramathibodi Hospital comparing the SnapD mobile app alone, SnapD combined with a Linx CGM, and standard of care over an 8‑week period. SnapD uses Gemini 2.5 Flash to recognize Thai dishes, estimate nutritional values, and link meal entries with glucose patterns from CGM to provide personalized feedback. Participants are adults 18–65 with type 2 diabetes, BMI >23 kg/m², HbA1c 6.5–9%, and must keep antidiabetic medication doses stable during the study. Outcomes focus on short‑term changes in glycemic control and usability of the AI tool in a Thai dietary context.
Who should consider this trial
Good fit: Adults 18–65 with type 2 diabetes and overweight or obesity (BMI >23 kg/m²), HbA1c 6.5–9%, not using insulin or incretin-based therapies, who have a compatible smartphone and can keep their diabetes medications unchanged for 8 weeks.
Not a fit: Patients on insulin or GLP-1/GIP/GLP-1 therapies, those who are pregnant or breastfeeding, or people unable/unwilling to use a smartphone or CGM are unlikely to benefit from this study.
Why it matters
Potential benefit: If successful, this approach could help patients manage blood sugar better by giving accurate, Thai-specific nutrition estimates and real-time CGM-linked feedback.
How similar studies have performed: Digital food logging and CGM interventions have shown promise in improving glycemic control in other settings, but AI tools specifically trained on Thai cuisine are novel and not yet validated.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Aged 18 to 65 years, male or female at birth 2. Diagnosed with type 2 Diabetes Mellitus with overweight or obesity (BMI\>23 kg/m²) 3. Hemoglobin A1c (HbA1c) 6.5-9% measured within 3 months prior to the screening date 4. Willing to maintain their current antidiabetic medication regimen without dose adjustment for the entire 8-week study duration 5. Must possess an internet-enabled devices e.g. smartphone, tablet compatible with the SnapD application 6. Able and willing to adhere intervention, including using snapD and CGM Exclusion Criteria: 1. Currently pregnant, plan pregnancy or breastfeeding during the 8-week study period 2. Current participation in another interventional clinical trial 3. Current use of insulin or incretin-based therapies (e.g., GLP-1 Receptor Agonists, GIP/GLP-1 Receptor Agonists) 4. Presence of severe hearing or visual impairment that, in the investigator's judgment, would preclude the participant from safely and effectively using the SnapD application or the CGM device 5. known contraindication to CGM usage e.g., a history of severe hypersensitivity to the device's materials or adhesive, planing to go on CT-contrasted imaging etc.
Where this trial is running
Bangkok, Bangkok
- Department of Medicine, Ramathibodi Hospital, — Bangkok, Bangkok, Thailand (Recruiting)
Study contacts
- Principal investigator: Supasuta Wongdama — Ramathibodi Hospital
- Study coordinator: Supasuta Wongdama, MD
- Email: supasuta.won@gmail.com
- Phone: +6690-575-4190
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.