Area of research
Ophthalmology · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Disease and Biomarker, with related work in Retinal, Hazard ratio, Biobank. Notable publications include 'Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes', 'Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk', and 'Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns'.
Prognostic potentials of AI in ophthalmology: systemic disease forecasting via retinal imaging
Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank
Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI
Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk
Detection of features associated with neovascular age-related macular degeneration in ethnically distinct data sets by an optical coherence tomography: trained deep learning algorithm
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns
Highlighting the evidence gap: how cost-effective are interventions to improve early childhood nutrition and development?