AI-Informed Physical Activity
Research on AI-enabled exercise support, patient and professional perspectives, and personalised management of multimorbidity.
Research pillar 3
Prevention & Personalised Interventions
Using AI insights to design earlier, targeted and personalised approaches that prevent progression, and translating those insights into interventions that work for people with multimorbidity.
Focus areas
- Precision prevention
- Behaviour change and intervention development
- Clinical decision support
- Digital and remote interventions
- Personalised care and remission-oriented research
Videos
Related films
How artificial intelligence (AI) can help people with health conditions — Plain English Summary
Selected publications
Evidence for this pillar
Artificial intelligence-driven exercise programmes in personalising the management of multimorbidity
Keast J, Simpson G, Smith L, Dambha-Miller H. BJGP Open, 2025.
View DOIA novel framework for operationalising patient and public involvement: lessons from designing an AI-informed exercise prescription grant
Smith L, Keast J, Flowers J et al. Research Involvement and Engagement, 2025.
View DOIPerceptions and experiences of living with and providing care for multimorbidity: A qualitative interview study
Journal of Multimorbidity and Comorbidity.
View DOI