Research project

Deciphering AMD by Deep Phenotyping and Machine Learning- Prospective Study (PINNACLE)

Research groups:
Lead researcher:

Professor Andrew Lotery
Research funder:

National Institute of Health and Care Research
Status:

Active

Project overview

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 allow 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.

Staff

Lead researcher

Professor Andrew Lotery

Professor of Ophthalmology

Research interests

Ocular clinical trials
Age related macular degeneration
Central serous chorioretinopathy

Connect with Andrew

Email: a.j.lotery@soton.ac.uk

Collaborating research institutes, centres and groups

Vision Science

Vision Science works with other research institutions to increase the potential of a cure, or improve treatment, for age-related macular degeneration and other blinding eye diseases.