Digital Phenotyping for Early Risk Profiling
Develop culturally adapted dementia risk indicators via digital technology-based phenotyping (e.g. wearable sensors, voice analytics) and longitudinal data analysis of spatiotemporal lifestyle patterns across global ageing cohorts, enabling precision identification of high-risk elderly in community settings.
Jing Liao
Associate professor, Department of Medical Statistics & Epidemiology| SYSU Global Health Institute (SGHI), Sun Yat-sen University, China
Healthy ageing dynamics, examining social networks × health behaviors × multidimensional functioning (physical/cognitive/social). Uses longitudinal cohort modeling (global datasets) to pinpoint socio-determinants, with RCT-validated interventions.