AI-Driven MRF Type 2 Diabetes Integrating DHT IF and Resistance Training to OM and Functional Outcomes

NCT07336459 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2026-01-13

No results posted yet for this study

Summary

This randomized controlled trial aims to evaluate the effectiveness of an AI-driven multimodal rehabilitation framework combining digital health technologies, intermittent fasting, and resistance training in individuals with Type 2 Diabetes Mellitus (T2DM). The study will integrate mobile-based AI monitoring for glucose trends, physical activity tracking, and dietary adherence reminders, thereby improving patient engagement and self-management.

Conditions

  • Type 2 Diabetes Mellitus 1

Interventions

COMBINATION_PRODUCT

AI-Guided Multimodal Rehabilitation Program

Digital Health: Mobile AI-based app with glucose tracking, exercise reminders, and fasting compliance monitoring Intermittent Fasting: 16:8 time-restricted feeding protocol, 5 days/week Resistance Training: 3 sessions/week (45 minutes), supervised + home-based program using elastic bands \& bodyweight

DIAGNOSTIC_TEST

Standard Diabetes Care

Usual pharmacological treatment + general lifestyle advice No structured AI, fasting, or exercise protocol

Sponsors & Collaborators

  • Superior University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
40 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-04-17
Primary Completion
2026-04-01
Completion
2027-03-31

Countries

  • Pakistan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07336459 on ClinicalTrials.gov