All projectsMusic for Alzheimer
An AI-assisted music prototype for Alzheimer care.
Since 2025, Shuran has been developing Music for Alzheimer with a fellow student and clinical collaborators, bringing together his interests in computer science and music. His work spans software development, evaluation, and research writing.
Published · JMIR Formative Research 2026The project
Music for Alzheimer combines culturally familiar music with short, AI-assisted prompts for caregivers of people with Alzheimer's disease. It explores how software can support more personal music-based interactions.
How it works
Caregivers record emotional states and memory responses. These inputs inform music selection and context-aware prompts. A session interface helps caregivers review responses over time.
Contribution
Shuran contributed to software development, validation, analysis, visualization, and the original manuscript, alongside a fellow student and clinical collaborators. He is the first-listed author of the research letter; the paper credits all authors with equal contributions.
Early evaluation
The formative study involved eight caregivers, with five live sessions and three simulated sessions. It explored usability and feasibility. Clinical effectiveness has not been established.
Interface cropped from Multimedia Appendix 1 in Yang S et al., JMIR Formative Research 2026;10:e89535, published May 13, 2026. © ShuRan Yang, Daniel YunShu Zhang, MinMin Zhang, Hua Yang, YongHui Ma. CC BY 4.0.
