Deep learning aging marker from retinal images unveils sex-specific clinical and genetic signatures

Abstract excerpt

Retinal fundus images offer a non-invasive window into systemic aging. Here, we fine-tuned a foundation model (RETFound) to predict chronological age from color fundus images in 71,343 participants from the UK Biobank, achieving a mean absolute error of 2.85 years. The resulting retinal age gap, i.e. the difference between predicted and chronological age, was associated with cardiometabolic traits, inflammation, c...

Topics

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• Aged
• Aging
• Deep Learning
• Genome-Wide Association Study
• Mendelian Randomization Analysis
• Polymorphism, Single Nucleotide
• Retina
• Retinal Imaging and Analysis

Identifiers and source

Literature Corpus work

48ec1385-f4be-54b8-be38-41ed310639d5

DOI

10.1101/2025.07.29.25332359