Recent developments in high-resolution retinal imaging and deep learning have highlighted the eye as an important barometer of systemic health, an area known as oculomics.
In particular, subtle changes detectable on eye scans are associated with our risk of many leading causes of morbidity and mortality, such as heart attack, stroke and dementia.
This session will cover not only some of the key technical and governance elements for health data research within the UK National Health Service but also how scientific understanding in this field of oculomics have evolved as artificial intelligence techniques have matured.
About the Speaker:
Siegfried Wagner is a clinical research training fellow funded by the Medical Research Council at University College London and an ophthalmologist in training in London.
After qualifying in medicine from the University of Oxford, Siegfried commenced ophthalmology training in London.
He has a PG Diploma in Biostatistics and Epidemiology from the London School of Hygiene and Tropical Medicine and is module lead for Telemedicine in the UCL Postgraduate Certificate for Telemedicine.
His research focuses on associations between retinal morphology and systemic disease, particularly cardiovascular and neurodegenerative diseases.