
Speaker: Prof. Athanasios Tsanas
Venue: Ground Floor Lecture Room, CHOW YEI CHING Building, Yuquan Campus
Abstract: Monitoring of chronic condition trajectories typically requires the patients’ physical presence in the clinic and regular thorough physical examination by clinical experts to assess symptom severity and the effect of interventions. In practice, people with chronic conditions only meet their clinical care teams sparsely in some cases as often as once every 1-2 years. In this talk, I will highlight how capitalizing on digital technologies can provide access to diverse multimodal data, which can be mined to provide clinically useful information. I will demonstrate how we have developed clinical decision support tools to facilitate accurate, longitudinal, and scalable monitoring, drawing on a range of examples from my research work in Parkinson’s, disease, mental disorders, and endometriosis.