Foveal Therapy in Blue Cone Monochromacy: Predictions of Visual Potential From Artificial Intelligence.

ABSTRACT: Novel therapeutic approaches for treating inherited retinal degenerations (IRDs) prompt a need to understand which patients with impaired vision have the anatomical potential to gain from participation in a clinical trial. We used supervised machine learning to predict foveal function from foveal structure in blue cone monochromacy (BCM), an X-linked congenital cone photoreceptor dysfunction secondary to mutations in the OPN1LW/OPN1MW gene cluster. BCM patients with either disease-associated large deletion or missense mutations were studied and results compared with those from subjects with other forms of IRD and various degrees of preserved central structure and function. A machine learning technique was used to associate foveal sensitivities and best-corrected visual acuities to f

SUBMITTER: Sumaroka A 

PROVIDER: S-EPMC7416698 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature