AI-assisted remote insulin pump optimization for people with type 1 diabetes
Official title: Evaluating AI-Assisted Remote Optimization of Insulin Pump Settings in Type 1 Diabetes Using CGM
Run by The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School · NCT07732777 · Data updated 2026-11-12
This study tests an AI-powered tool that suggests insulin pump settings for people with type 1 diabetes, with doctor-approved recommendations delivered to a mobile app.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 14 Years to 65 Years |
| Sex | All |
| Enrollment | 50 (estimated) |
| Sponsor | The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School Academic / other |
| Locations | 1 site (Nanjing, Jiangsu) |
| Status | Recruiting |
| Started | January 28, 2026 |
| Main results expected | December 31, 2027 |
| Study ends | December 31, 2028 |
| Registry record updated | July 29, 2026 |
| Trial ID | NCT07732777 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults and adolescents with type 1 diabetes, aged 14–65, using an insulin pump or multiple daily injections with CGM, and meeting criteria related to duration of diabetes and HbA1c.
✕Probably not a fit
Patients not using an insulin pump with CGM or not meeting the eligibility criteria may not benefit from the AI-driven optimization.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The trial uses an AI algorithm that analyzes CGM and insulin data to generate personalized pump-setting recommendations. Recommendations are reviewed by physicians before being sent to participants' phones for implementation. There are two parallel cohorts: an inpatient phase to assess safety and short-term glycemic response over 5-7 days, and a home-based phase using a randomized two-period crossover over 11 weeks to compare AI-assisted optimization with conventional therapy. The study evaluates feasibility, safety, and efficacy of remote parameter optimization in real-world and controlled settings.
Why it matters
Potential benefit: If successful, patients could benefit from more precise, personalized insulin dosing with remote support and enhanced glucose control.
How similar studies have gone: Previous studies with AI-assisted insulin management have shown promise in improving glucose control, though this exact remote-optimization approach is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Clinical diagnosis of T1D, meeting all three of the following criteria: 1. Clinical medical records or a certification document issued by a specialist physician confirming the diagnosis; 2. At least one of the following: age at disease onset \< 15 years; presentation with ketosis or diabetic ketoacidosis (DKA) at onset; no overweight or obesity at onset; highest random C-peptide \< 200 pmol/L; 3. At least one of the following: continuous insulin therapy initiated after diagnosis; positive for any islet autoantibody. 2. Age 14 to 65 years, inclusive, male or female. 3. HbA1c \< 11.0% at the screening visit. 4. At least 3 months of documented T1D duration, and at least 3 months of treatment with either multiple daily insulin injections (MDI) or insulin pump therapy. 5. Willing to wear the study device continuously throughout the trial and to use either insulin aspart or insulin lispro. 6. Willing to perform at least one fingerstick blood glucose measurement per day. 7. Willing to upload data from the study device. 8. Willing and able to provide signed informed consent (by the participant and/or legally authorized representative) and to learn basic diabetes management and study device operation. Exclusion Criteria: 1. History of severe hypoglycemia within the 6 months prior to screening, defined as an event requiring medical assistance (i.e., physician office visit, emergency room visit, or hospitalization), coma, seizure, or hypoglycemia with loss of consciousness. 2. Unresolved acute complications of diabetes at screening, including diabetic ketoacidosis (DKA) or hyperosmolar hyperglycemic state (HHS), or hyperglycemia with severe circulatory impairment. 3. Unresolved adverse skin conditions at the intended device placement site (e.g., psoriasis, dermatitis herpetiformis, rash, staphylococcal infection) at screening. 4. Intolerance to subcutaneous infusion sets or adhesive tapes, or presence of edema. 5. Presence of significant acute or chronic complications, hepatorenal disease, or other systemic diseases at screening. Hyperthyroidism or hypothyroidism with unstable thyroid function at the time of screening, defined as thyroid-stimulating hormone outside the normal range with concurrent abnormal free triiodothyronine or free thyroxine levels. 6. Prior pancreas or islet cell transplantation. 7. Any of the following cardiovascular or cerebrovascular events within 1 year prior to screening: myocardial infarction, heart failure (NYHA Class III/IV), unstable angina, coronary artery bypass grafting, coronary stent implantation, angina pectoris, congestive heart failure, ventricular arrhythmia, transient ischemic attack (TIA), cerebrovascular accident (CVA), or other thromboembolic disease. 8. Diagnosis of any of the following: malignancy, tuberculosis or other chronic wasting disease, hematological disorder, psychiatric disorder, systemic lupus erythematosus, rheumatoid arthritis, autoimmune hemolytic anemia, or clinically significant malabsorption. Diagnosis of adrenal insufficiency, or current treatment for hyperthyroidism, or planned treatment for hyperthyroidism during the study period. 9. History of drug abuse or alcohol abuse. 10. Use of any oral, injectable, or intravenous glucocorticoids within 8 weeks prior to screening, or planned use during the study period. 11. Use of any of the following non-insulin glucose-lowering agents within 8 weeks prior to screening, or planned use during the study period: thiazolidinediones (TZDs), alpha-glucosidase inhibitors, sulfonylureas (SUs), glinides, dipeptidyl peptidase-4 inhibitors (DPP-4i), sodium-glucose cotransporter-2 inhibitors (SGLT2i), or glucagon-like peptide-1 receptor agonists (GLP-1 RAs). Participants currently using any of these agents must undergo a washout period of at least 7 days prior to enrollment. 12. Planned elective surgery requiring general anesthesia, or planned dialysis during the study period. 13. For women of childbearing potential: pregnancy, lactation, positive pregnancy test at screening, or planned pregnancy during the study period. Women of childbearing potential who are not using an effective method of contraception (e.g., oral contraceptives, intrauterine device, barrier method with spermicide, or surgical sterilization) and who do not agree to continue using such effective contraception during the study period will be excluded. 14. Current participation in, or treatment with an investigational drug or device within 2 weeks prior to screening (observational studies are permitted). 15. Any other condition that, in the investigator's judgment, would make the participant unsuitable for the study, including but not limited to: history of ocular trauma or other confirmed ocular disease causing blurred vision, deafness, eating disorders, celiac disease, or being underweight (Body Mass Index \< 18 kg/m²).
Where it's running
-
Department of Endocrinology
Nanjing, Jiangsu, China Recruiting
Study contacts
- Study coordinator: Jing Lu, PhD
- Email: lujingsnow@126.com
- Phone: 0086-025-83106666-61431
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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.