AI identifes retinal age from single picture of the eye
Our retina contains far more than just information about our eyes. Its blood vessels are directly visible, it is affected by conditions like diabetes and inflammation, and as part of the central nervous system, it is closely connected to the brain. A simple photograph of the retina can therefore provide a remarkable window into our health. Olga Trofimova, a postdoctoral researcher in Professor Sven Bergmann’s research group in the Department of Computational Biology (DBC) at the University of Lausanne, used an artificial intelligence (AI) model to ask a seemingly simple question: how old is a person’s retina? The difference between the AI-estimated age and the person’s actual age provides insights into biological ageing, helping to identify those with accelerated ageing and a higher risk of certain diseases. The study, carried out in collaboration with colleagues at the Jules-Gonin Eye Hospital in Lausanne and Erasmus University Medical Center in Rotterdam, is published in the 26 August 2026 issue of Nature Communications. The gap between retinal age and chronological age provides important clues The researchers adapted RETFound, an AI foundation model …









