Dr. Xianglong Xu, a Research Professor at Shanghai University of Traditional Chinese Medicine specializing in AI-enabled epidemiology and predictive health analytics, holds a Ph.D. in Epidemiology with advanced expertise in chronic disease modelling and public health informatics. His professional experience spans roles as a young researcher, master’s supervisor, and project leader, contributing to multidisciplinary initiatives that integrate artificial intelligence with clinical practice and community health systems. Dr. Xu has led the development of innovative digital health tools, large-scale preventive health databases, and collaborative programs with hospitals and public health centers, strengthening data-driven decision-making across diverse populations. His research focuses on chronic disease risk assessment, AI-driven health prediction models, digital health evaluation, and the integration of Traditional Chinese Medicine concepts into modern epidemiology, supported by significant scholarly output and impactful scientific contributions. He has published extensively in peer-reviewed journals, contributed to theoretical and applied advancements in intelligent health analytics, and served on editorial boards while reviewing for leading international journals. His professional affiliations include membership in the International Epidemiological Association, IEEE and EMBS, national rehabilitation committees, and multiple scientific societies, complemented by recognitions across national and international platforms. 1,441 Citations, 71 Documents, 21 h-index.
Profiles: Scopus
Featured Publications
Xu, Xianglong*, Urban and rural disparities in stroke prediction using machine learning among Chinese older adults. Scientific Reports, 2025.
Xu, Xianglong*, External validation of a web- and artificial intelligence-based HIV/STI risk assessment tool: performance evaluation using data from Sydney sexual health centre. BMC Infectious Diseases, 2025.
Xu, Xianglong*, Anxiety responses and testing intentions among gay and bisexual men using an AI-powered HIV/STI risk assessment tool: a quasi-experimental study. BMC Public Health, 2025.
Xu, Xianglong, Comparative analysis of cardiometabolic multimorbidity predictors in China and the USA: A machine learning approach. Diabetes Research and Clinical Practice, 2025.
Xu, Xianglong, Development of a web-based tool using machine learning algorithms to improve adherence to diagnostic colonoscopy among middle-aged and elderly adults in colorectal cancer screening program. Annals of Epidemiology, 2025.
Xu, Xianglong, Determinants and geographical variations in oral traditional Chinese medicine use among middle-aged and elderly chronic adults in China: A cross-sectional study. European Journal of Integrative Medicine, 2025.
Xu, Xianglong, Geographical distribution disparities and prediction of health satisfaction among middle-aged and elderly adults in China: An analysis based on national data. Annals of Epidemiology, 2025.