NEI Research News

Four teams have won a prize competition aimed at integrating eye care and ocular imaging data into studies using large healthcare datasets in biomedical research.

The S-index challenge aims to incentivize and reward data sharing by promoting a new metric. Participants will be judged on their proposed methods for calculating the index.

The NEI and partners have published an editorial on the value of being able to store and share eye imaging data in standard formats.

The Lasker Foundation cited a trio of scientists, who with NEI funding, developed OCT, one of the most widely used technologies for imaging the eye.

Researchers at the University of Alabama at Birmingham discovered that night vision tests at a specific location in the retina will be suitable for assessing treatments and preventions for AMD.

Researchers supported by the NEI are developing artificial intelligence/machine learning (AI/ML)-based systems that not only screen for AMD but also predict which patients will likely progress to late within two years.

Using a new imaging technique, researchers from the National Eye Institute have determined that retinal lesions from vitelliform macular dystrophy (VMD) vary by gene mutation.

Duke researchers demonstrate how a few tricks learned from their OCT research can improve on LIDAR, a technology used for vision in self-driving cars.

Researchers at Brown University developed a new model to predict human flocking behavior based on optics and other sensory data.

Scientists have developed an artificial intelligence system that can analyze eye scans taken during a routine visit to an optician or eye clinic and identify patients at a high risk of a heart attack.