Area of research
Otorhinolaryngology · Pulmonary and Respiratory Medicine
Research interest
Research interests include Head and Neck Cancer Studies, Lung Cancer Treatments and Mutations, COVID-19 epidemiological studies, and SARS-CoV-2 and COVID-19 Research.
AI-Based Retinal Image Analysis for the Detection of Choroidal Neovascular Age-Related Macular Degeneration (AMD) and Its Association with Brain Health.
Predictive evolutionary modelling for influenza virus by site-based dynamics of mutations.
Automatic retinal image analysis methods using colour fundus images for screening glaucomatous optic neuropathy.
Robust time selection for interim analysis in the Bayesian phase 2 exploratory clinical trial.
Impact of climate change on dengue fever epidemics in South and Southeast Asian settings: A modelling study
An efficient approach to estimate the risk of coronary artery disease for people living with HIV using machine-learning-based retinal image analysis.
Lifestyle Changes Reduced Estimated White Matter Hyperintensities Based on Retinal Image Analysis.
A New Model Selection Metric for Biomarker Detection Algorithms and Tools
Corrigendum: Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis
Rapid evaluation of COVID-19 vaccine effectiveness against symptomatic infection with SARS-CoV-2 variants by analysis of genetic distance.
Improved risk stratification of nasopharyngeal cancer by targeted sequencing of Epstein-Barr virus DNA in post-treatment plasma.
Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis
Differences in the case fatality risks associated with SARS-CoV-2 Delta and non-Delta variants in relation to vaccine coverage: An early ecological study in the United Kingdom.
Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis
Risk Assessment of CHD Using Retinal Images with Machine Learning Approaches for People with Cardiometabolic Disorders
Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis.
Spatiotemporal relationship between temperature and non-accidental mortality: Assessing effect modification by socioeconomic status.
Risk Assessment of CHD Using Retinal Images with Machine Learning Approaches for People with Cardiometabolic Disorders.
Quantifying the effect of government interventions and virus mutations on transmission advantage during COVID-19 pandemic.
A Prism Vote method for individualized risk prediction of traits in genotype data of Multi-population.
Temporal Patterns in the Evolutionary Genetic Distance of SARS-CoV-2 during the COVID-19 Pandemic.
Health Disparity Resulting from the Effect of Built Environment on Temperature-Related Mortality in a Subtropical Urban Setting.
A Prism Vote Framework for Individualized Risk Prediction of Traits in Genome-wide Sequencing Data of Multiple Populations
Quantifying the transmission advantage associated with N501Y substitution of SARS-CoV-2 in the UK: an early data-driven analysis.
Superspreading and heterogeneity in transmission of SARS, MERS, and COVID-19: A systematic review
Superspreading and heterogeneity in transmission of SARS, MERS, and COVID-19: A systematic review.
Inferring the Association between the Risk of COVID-19 Case Fatality and N501Y Substitution in SARS-CoV-2.
Machine-learning method for localization of cerebral white matter hyperintensities in healthy adults based on retinal images.
Independent association between meteorological factors, PM2.5, and seasonal influenza activity in Hangzhou, Zhejiang province, China.
Clinical significance of site-specific metastases in pancreatic cancer: a study based on both clinical trial and real-world data.