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An Active Health-Based Comprehensive Study on Diabetes Management

An Active Health-Based Comprehensive Study on Diabetes Management

Recruiting
40-70 years
All
Phase N/A

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Overview

This randomized, open-label, multicenter trial evaluates the efficacy and safety of the AI-based lifestyle guidance system (X Life) compared to standard care in adults with type 2 diabetes. X Life integrates CGM, wearable devices, and AI-driven decision models to provide personalized lifestyle recommendations. The primary endpoint is the percentage of time in glucose target range (TIR).

Description

Type 2 diabetes imposes a global health burden. Traditional care has limitations in accessibility, personalization, and long-term adherence. AI-driven digital therapeutics may overcome these barriers. X Life is an innovative AI system providing individualized lifestyle guidance using real-time CGM and wearable data. User studies demonstrated usability and acceptability. This multicenter randomized controlled trial will rigorously test whether X Life improves glycemic control compared with standard care, while also evaluating metabolic outcomes, patient-reported measures, and safety.

Eligibility

Inclusion Criteria:

  • Age 18-70 years
  • Diagnosed type 2 diabetes
  • Stable medication regimen ≥ 3 months
  • HbA1c 7-10%
  • Smartphone access and ability to operate app
  • Willing to wear CGM and activity tracker
  • Able to provide informed consent

Exclusion Criteria:

  • Insulin therapy
  • Severe chronic/acute diabetic complications
  • Early-onset diabetes (<40 years at diagnosis)
  • Severe cardiovascular disease, uncontrolled hypertension, active liver disease, malignancy
  • Severe psychiatric or cognitive disorders
  • Allergy to CGM materials
  • Planned surgery or long-term travel during study

Study details
    Diabetes

NCT07160998

Li Huating

15 October 2025

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FAQs

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A clinical trial is a study designed to test specific interventions or treatments' effectiveness and safety, paving the way for new, innovative healthcare solutions.

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