Creating an AI tool to help people manage chronic conditions like multiple sclerosis.
Official title: Building and Validating Lifelong Self-Management Capacity with Advanced AI: MyMSMentor
Funded at University of Illinois at Urbana-Champaign · NIH-10803204 · Data updated 2026-11-12
This study is testing a friendly AI tool called MyMSMentor that helps people with multiple sclerosis manage their health by giving them personalized advice based on their daily lives and needs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Illinois at Urbana-Champaign NIH-funded |
| Lab location | 1 site (Champaign, United States) |
| Project start | September 18, 2024 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $329,346 |
| NIH project number | 1R01LM014250-01A1 |
| Project ID | NIH-10803204 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals aged 21 and older who are living with chronic conditions such as multiple sclerosis.
✕Less likely to help
Patients with acute conditions or those who do not have access to digital devices may not benefit from this research.
What this research studies
This research aims to develop MyMSMentor, an advanced AI system designed to support individuals with chronic conditions, particularly multiple sclerosis, in managing their health. The AI will provide personalized, real-time guidance based on the user's daily life and health needs, helping them to better understand and manage their condition. By utilizing a Health Action Process Approach (HAPA), the system will adapt to the changing circumstances of users, ensuring that they receive relevant support throughout their lives. The goal is to enhance self-management capabilities and improve communication between patients and healthcare providers.
Why it matters
Potential benefit: If successful, this research could empower patients to take control of their chronic conditions, leading to improved health outcomes and reduced healthcare costs.
How similar studies have gone: Previous research has shown promise in using AI for chronic disease management, indicating that this approach could be effective.
Where this research is happening
-
University of Illinois at Urbana-Champaign
Champaign, United States Active
Researchers
- Principal investigator: Chiu, Chung-Yi — University of Illinois at Urbana-Champaign
- Study coordinator: Chiu, Chung-Yi
Related research
Other NIH-funded projects on the same topics.
-
Michigan Diabetes Project: A Peer-Led Self-Management Program for Adults with Type 2 Diabetes
A peer-led self-management program for adults with type 2 diabetes is being tested to see if it improves blood sugar control and daily diabetes care.
-
Economic evaluation of MEW Network epilepsy self-management programs for broad adoption
This project tests how cost-effective two epilepsy self-management programs (UPLIFT and PACES) are when used in real-world healthcare and community settings, to help people with epilepsy live better.
-
Economic analysis of the MEW self-management program for epilepsy (MINDSET) in real-world settings
This grant studies how a proven epilepsy self-management program can be implemented in communities and clinics, and how its costs and benefits stack up.
-
EDGE: A personalized, digital diabetes support program with real-time glucose feedback
A digital program for adults with type 2 diabetes uses real-time glucose data, coaching, and engaging features to help them manage their condition better.
-
Self-management Apps with AI to Help Emerging Adults Reduce Substance Use and Costs
A new AI-powered self-management program for 18- to 25-year-olds with substance use issues aims to reduce use, overdoses, and costs by delivering scalable, smartphone-based support.
-
AI-powered, person-centered chatbot to help manage menstrual pain
A patient-friendly AI chatbot called PeriodPal will provide evidence-based, personalized tips to help manage dysmenorrhea and reduce days missed from work or school.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.