Our Capabilities

The application of clustering and separability statistics on topographic data from the anterior eye assists in the classification of corneal disease or the identification of those at risk of angle-closure glaucoma. Imaging data from routinely available clinical instruments may be used and thus the method is transferable across existing imaging platforms.

Identifying and classifying the risk of progression in age-related macular degeneration (AMD) by applying pattern recognition to multi-modal images of the retina, changes in which can also be used to diagnose and analyse the progression of other retinal and optic nerve diseases. 

The 2017 global definition of dry eye disease - a common, yet poorly managed condition that is prevalent in up to 50% of Asian populations - highlights the importance of loss of tear film homeostasis and neurosensory abnormalities. This research program has developed and validated a suite of techniques and instruments which focus on these two key disease processes.

Strategies for improved medical device compliance and patient involvement in research, and expertise in genomics, immunology, microbiology, image analysis and mathematical modelling to improve the diagnosis and management strategies for corneal infections.

Development of quorum-sensing inhibitors, antimicrobial peptides and mimics, and incorporating them into polymers and biomaterials with the aim of reducing device-related infections.

The public health research group has a demonstrated ability to assemble multi-disciplinary teams to address priority issues in injury prevention and eye health, innovate and build capacity in this sector. 

There is an unmet medical need for early diagnosis and monitoring of diabetic neuropathy, particularly in remote locations that do not have access to specialty care. Using the eye to monitor tear neuropeptides may allow early diagnosis and prevent complications.