Clinical trial Recruiting at 1 site Interventional Ages 18 and up

Mobile health and wearables to help manage and prevent diabetes complications

Official title: Study on the Applicability of New Technologies for Diabetes Complication Management Based on Mobile Health and Wearable Devices

Run by Second Xiangya Hospital of Central South University · NCT07129148 · Data updated 2026-11-12

This study tests an AI-based risk model and a smartphone–wearable lifestyle program to help adults with type 2 diabetes see if complications can be predicted and prevented.

More Diabetes Mellitus, Type 2 trials

Quick facts

Study typeInterventional
Ages18 Years and up
SexAll
Enrollment6000 (estimated)
SponsorSecond Xiangya Hospital of Central South University
Academic / other
Locations1 site (Changsha)
StatusRecruiting
StartedOctober 1, 2025
Main results expectedOctober 1, 2026
Study endsOctober 1, 2027
Registry record updatedJune 1, 2026
Trial IDNCT07129148 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults with type 2 diabetes who are willing to use AI-assisted management and wearable monitoring and complete lifestyle records.

Probably not a fit

Patients without access to or comfort with digital health tools or who have conditions excluding participation may not benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The trial will evaluate whether an AI model using phenotype data, lab results, and wearable device indicators can predict the risk of type 2 diabetes complications. It will also explore whether an intelligent lifestyle intervention delivered through wearables and a smartphone app can prevent or reduce complications. Participants will use AI-assisted management and receive CGM monitoring, a smart bracelet, and the Professor Tang WeChat mini-program as part of the intervention over a 3-month period. The study is led by Second Xiangya Hospital with several collaborating centers in China. It does not specify a parallel control group in the provided details.

Why it matters

Potential benefit: If successful, the program could improve early detection of complications and support personalized lifestyle changes.

How similar studies have gone: AI-driven risk prediction and digital lifestyle interventions have shown potential in related settings, but this exact combination for T2D complication prevention is being explored.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Confirmed diagnosis of Type 2 Diabetes;
2. Aged ≥ 18 years;
3. Able to accept the diabetes management model with AI-assisted management and wearable device monitoring;
4. Able to provide complete lifestyle records, including medical history, medication status, diet, exercise, etc.;
5. Fully understand the purpose, nature, and methods of the study, voluntarily participate in this study, accept a 3-month follow-up, and sign the informed consent form.

Exclusion Criteria:

1. Having severe mental illness or language barriers;
2. Suffering from malignant tumors;
3. Pregnant or lactating women;
4. Suspected active infections (such as active pulmonary tuberculosis, pneumonia, etc.);
5. Severe hepatic and renal insufficiency (alanine transaminase and/or aspartate transaminase \> 3 times the upper limit of normal; estimated glomerular filtration rate \< 15 mL/min/1.73 m²);
6. A history of definite major adverse cardiovascular events and/or revascularization and/or intravenous thrombolysis and/or endovascular thrombectomy;
7. Uncontrolled hyperthyroidism or hypothyroidism, pituitary-adrenal dysfunction, or other endocrine diseases;
8. Alcoholism or drug addiction;
9. Receiving insulin therapy;
10. Unable to accept new comprehensive intervention technologies for various reasons (such as personal beliefs, economic factors, etc.).

Where it's running

  • Second Xiangya Hospital of Central South University
    Changsha, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.