NEI Research News

Research shows that an artificial intelligence technology developed with NEI funding can accurately and independently detect all severe cases of retinopathy of prematurity.

Medical College of Georgia scientists have early evidence that targeting the bile acid receptor could provide earlier, more impactful treatments for premature babies to prevent retinopathy of prematurity.

An inexpensive, smartphone-based camera can help doctors identify premature infants needing treatment for retinopathy of prematurity (ROP), according to a new study funded by the National Eye Institute (NEI).

Augusta University scientists have found a new target and drug that together appear to stop retinopathy of prematurity.

An enzyme under study to treat certain cancers is also showing promise in reducing the significant vision damage that can result from diabetes and premature birth, scientists report.

Oklahoma Medical Research Foundation scientists have identified a compound that could give birth to therapies for a host of eye diseases that include retinopathy of prematurity and diabetic retinopathy.

When the eye isn’t getting enough oxygen in the face of common conditions like premature birth or diabetes, it can result in blindness. Scientists have identified new points where they may be able to enable recovery.

Babies born prematurely who require treatment to prevent blindness from retinopathy of prematurity (ROP) could be treated with a dose of Avastin (bevacizumab) that is a fraction of the dose commonly used for ROP currently.

An artificial intelligence (AI) device that has been fast-tracked for approval by the Food and Drug Administration may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP). AP-ROP is the most severe form of ROP.

An artificial intelligence algorithm that can detect a potentially devastating cause of childhood blindness better than most human experts has been granted breakthrough status by the FDA.