Principal Investigator: Professor Andrew Lotery
Institution: University of Southampton
University of Southampton, UKTags: 45477, age-related-macular-degeneration, artificial intelligence, biomarkers, eye, Genotype, phenotype
Collaborator: Professor Daniel Rueckert, Imperial College London, UK; Professor Hendrik Scholl, Institute of Molecular and Clinical Ophthalmology Basel, Switzerland; Professor Ursula Schmidt-Erfurth, Medical University of Vienna, Austria; Professor Sobha Sivaprasad, University College London, UK; Dr Lars Fritsche, University of Michigan, USA
Age-related-macular-degeneration (AMD) is a very common cause of blindness. Unfortunately, doctors don’t know who will progress to the sight threatening stage of the disease. Some patients progress slowly or not at all and others quickly.
We can teach computers to analyse high resolution images of the inside of the eye. We have access to hundreds of thousands of such images from patients with AMD and patients who don’t have AMD. These images together with those from UK Biobank will form a training data set, allowing us to train computers to identify what eye changes appear in patients with AMD. Once the computers have learnt this, we expect they will identify new changes we haven’t thought of.
Using this approach we think we will be able to better predict which patients will progress. This should help us develop better treatments and enter the most appropriate patients into clinical trials. It should allow us to better understand why AMD develops too.