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Machine learning in neovascular age-related macular degeneration

Safe People

Organisation name

Moorfields Eye Hospital NHS Foundation Trust

Organisation ID

grid.436474.6

Applicant name(s)

Konstantinos Balaskas

Safe Projects

Project ID

DAA061

Lay summary

Age-related Macular Degeneration is the main cause of vision loss in the UK. Although there are effective treatments in the form of eye injections, there are many factors affecting how well patients respond to these treatments. Not all these factors are well understood and especially how they interact with each other and how this can help predict treatment response. The main three sources of information that can help clinicians predict response to treatment and adjust the treatment regimen to the specific needs of each patient are: clinical information (such as age, vision), details from imaging tests (such as optical coherence tomography) and the genetic make-up of each patient. Novel methods of artificial intelligence for analysing complex information can help make sense of all this data and single out the factors that can help tailor treatments to the needs of each patient. In this project we will combine clinical, imaging and genetic information from patients already attending Moorfields clinics for treatment of Neovascular AMD (nAMD) treated with injections. We will use novel artificial intelligence methods for analysing images and exporting detailed information from them so that we can ‘personalise’ our treatments for patients with nAMD and give accurate predictions for the outcomes of treatment in terms of vision.

Request category type

Research

Other approval committees

NIHR BioResource Data Access Committee

Latest approval date

17/02/2021

Safe Data

Dataset(s) name
Data sensitivity level

De-Personalised

Legal basis for provision of data under Article 6

(e) processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;

Lawful conditions for provision of data under Article 9

(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.

Common Law Duty of Confidentiality

The individual to whom the information relates has consented

National data opt-out applied?

No

Request frequency

One-off

Safe Setting

Access type

Release