Building and Validating Lifelong Self-Management Capacity with Advanced AI: MyMSMentor
Time Frame
2024-2028
Total Funding to Date
$1,329,252.00
Investigator
- Jessie Chin
Nearly one million adults live with multiple sclerosis (MS) in the U.S. Given that there is no cure for MS, self-management of health is essential for people with MS (PwMS). The project aims at bridging theories in social and behavioral sciences (such as health literacy, Health Action Process Approach) to build lifelong-learning user models, elibrary system, and new algorithms for providing just-in-time adaptive actionable advice for PwMS to manage their everyday needs. The project will have impacts to demonstrate an innovative approach to leverage artificial intelligence and data science to build an evidence-based digital health solution for patients with neurological conditions.
Funded through the National Library of Medicine.
Personnel
- Research personnel: Chung-Yi Chiu in the Department of Kinesiology and Community Health (PI) and Chengxiang Zhai in Siebel School of Computing and Data Sciences (Co-PI)
Funding Agencies
- National Institutes of Health, 2024 – $1,329,252.00