Current classificatory schemes focus on disorders traditionally considered neurological (ie, based on static visual deficits typically related to brain lesions), relating each disorder to a specific ...

Ophthalmology Times connects eye care professionals with surgery, imaging, gene therapy, & diagnostic advances to enhance ...

In this Healio Video Perspective from the ARVO meeting, SriniVas R. Sadda, MD, FARVO, discusses a long-term study evaluating MCO-010 for the treatment of retinitis pigmentosa.

Databricks users can now natively access Audience Acuity's referential identity graph via Delta Sharing to enrich first-party data, drive activation, and accelerate time-to-value. LAS VEGAS ...

With detailed imaging and cognitive data, the Northern Ireland Cohort for the Longitudinal Study of Aging highlights the ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Dhoot: In a busy clinic, it is easy to rely solely on visual acuity testing in the ... the impact of GA because once you have retinal changes that are related to the disease, you cannot repair ...

Understanding how people visually browse their surroundings and direct their gaze in specific situations is a long-standing ...

In a recent study, the researchers suggested that targeting the circuits responsible for visual acuity may be necessary in achieving optimal recovery of visual function and could aid in the ...