Area of research
Ophthalmology · Genetics
Research interest
Research interests include Glioma Diagnosis and Treatment, Ophthalmology and Visual Impairment Studies, Retinal Imaging and Analysis, and Retinal Diseases and Treatments.
Suppression of hypothalamic oestrogenic signal sustains hyperprolactinemia and metabolic adaptation in lactating mice
Global burden of ischemic heart disease attributable to dietary factors: insights from the global burden of disease study 2021
Genetic Susceptibility to Psoriasis Increases Risk of Depression: Evidence From a Mendelian Randomization Study
Regulation of proteostasis by sleep through autophagy in <i>Drosophila</i> models of Alzheimer’s disease
Early detection of visual impairment in young children using a smartphone-based deep learning system
Sorbitol reduction via govorestat ameliorates synaptic dysfunction and neurodegeneration in sorbitol dehydrogenase deficiency
LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortality
Copper enhances aggregational toxicity of mutant huntingtin in a Drosophila model of Huntington's Disease
Specific binding of Hsp27 and phosphorylated Tau mitigates abnormal Tau aggregation-induced pathology
Phenylbutyrate modulates polyamine acetylase and ameliorates Snyder-Robinson syndrome in a Drosophila model and patient cells
Human Nmnat1 Promotes Autophagic Clearance of Amyloid Plaques in a Drosophila Model of Alzheimer’s Disease
Autonomous recognition and positioning of shield segments based on red, green, blue and depth information
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study
Corneal Biometric Features and Their Association With Axial Length in High Myopia
Comparison of Visual Neuroadaptations After Multifocal and Monofocal Intraocular Lens Implantation
Automated detection of retinal exudates and drusen in ultra-widefield fundus images based on deep learning
An artificial intelligence platform for the diagnosis and surgical planning of strabismus using corneal light-reflection photos
Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence
Spatial Technology Assessment of Green Space Exposure and Myopia
The associations of high academic performance with childhood ametropia prevalence and myopia development in China
NMNAT promotes glioma growth through regulating post-translational modifications of P53 to inhibit apoptosis
Characteristics and Risk Factors of Intraocular Lens Tilt and Decentration of Phacoemulsification After Pars Plana Vitrectomy
Predicting Central Serous Chorioretinopathy Recurrence Using Machine Learning
Associations Between Regional Environment and Cornea-Related Morphology of the Eye in Young Adults: A Large-Scale Multicenter Cross-Sectional Study
Biallelic mutations in SORD cause a common and potentially treatable hereditary neuropathy with implications for diabetes
Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images
Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography images
Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders
Automatic identification of myopia based on ocular appearance images using deep learning