Vision loss detection and progression prediction

Our team aim to better characterize the functional loss from ocular diseases with the goal of developing novel diagnostic methods and improving the prediction of how some diseases may progress in future.

Relationship between retinal structure and visual function in eye diseases

Our team are investigating the relationship between damages of retinal structure and their precise effects on functional vision in eye diseases.

Epidemiology and demographic features related to eye diseases

Our team are participating in the analysis work of two large clinical cohort studies. We aim to investigate the interactions of gene, environment, society and personal lifestyle with disease onset and progression.

Aging and lifestyle affecting the eye

Our team are participating in a population-based study that includes ocular imaging and a large number of physiological and cognitive parameters to systematically investigate the relationship between retinal parameters and age, as well as various groups of lifestyle-related variables.

We work in the intersection among mathematics, computer science, artificial intelligence and clinical ophthalmology. We aim to leverage mathematical, statistical and artificial intelligence modeling to enhance our knowledge and understanding of eye diseases and ultimately improve clinical treatment.