Area of research
Radiology, Nuclear Medicine and Imaging · Ophthalmology
Research interest
Research interests include Medicine, Computer science, Kidney disease, Cohort, Diabetes mellitus, and Retinal.
A deep‐learning retinal aging biomarker for cognitive decline and incident dementia
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites
Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank
Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults
Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk
Circulating Metabolic Biomarkers Are Consistently Associated With Type 2 Diabetes Risk in Asian and European Populations
High-Density Lipoprotein 3 Cholesterol and Primary Open-Angle Glaucoma
Logistic regression was as good as machine learning for predicting major chronic diseases
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations
Telehealth Demand Trends During the COVID-19 Pandemic in the Top 50 Most Affected Countries: Infodemiological Evaluation
Cohort Profile: The Singapore Epidemiology of Eye Diseases study (SEED)
Artificial Intelligence for Cataract Detection and Management
Large-Scale Whole-Genome Sequencing of Three Diverse Asian Populations in Singapore
Vision Impairment in CKD Patients: Epidemiology, Mechanisms, Differential Diagnoses, and Prevention
Calf-Level Factors Associated with Bovine Neonatal Pancytopenia – A Multi-Country Case-Control Study