A machine learning model developed by Duke Health researchers can differentiate normal cognition from mild cognitive impairment using retinal images from the eye. "This is particularly exciting work ...

Researchers have identified novel retinal vascular signatures that are significantly associated with the risk for a first stroke. When combined with age and sex, these retinal “fingerprints” predicted ...

Scientists have found that a dye-free imaging technique applied to donated human retinas can reliably distinguish the protein deposits associated with amyotrophic lateral sclerosis from those linked ...

Learn how researchers used AI-analyzed retinal scans to predict osteoporosis risk, linking faster biological aging in the eyes to weaker bones and future fracture risk. A routine eye scan might reveal ...

A retinal scan of a young mouse genetically predisposed to diabetes and obesity. Over time, the retina undergoes changes consistent with diabetic retinopathy, a condition where blood vessels swell or ...

DURHAM, N.C. – A machine learning model developed by Duke Health researchers can differentiate normal cognition from mild cognitive impairment using retinal images from the eye. The model analyzes ...