Science and Research
Ophthalmic epidemiology research
CERA’s population health research is focused on understanding blinding eye disease in the community and developing innovative strategies to reduce its impact, using advanced technology and data science.
Why this research is important
Our research is developing efficient, accurate and convenient ways of delivering eye screening services, improving patient outcomes and reducing the burden and cost of eye disease to the community.
The success of big data and smart clinical inquiry system projects will result in new databases and collaborative networks that will benefit both deep learning research and clinical research such as real-world treatment outcome studies.
Key research questions
- How can we increase participation in screening for eye disease such as diabetic retinopathy?
- How can artificial intelligence tools improve the diagnosis and treatment of eye disease?
- How can these screening systems be applied in different care models in non-ophthalmology settings, like GP clinics, endocrinology clinics and Indigenous health services?
- What is the accuracy, cost-efficiency and acceptancy of these care models in real-world practice?
- How can we integrate existing and further-evolved deep learning technology to develop and validate a clinical decision system that is able to predict disease outcomes and prognosis?
Associate Professor Peter van Wijngaarden
Associate Professor Peter van Wijngaarden is an ophthalmologist and medical scientist with research interests in diabetic retinopathy, Alzheimer’s disease and retinal imaging biomarker discovery. He has research experience in retinal vascular biology and central nervous system regeneration.