AI Model Uses 71 Blood Proteins to Predict Diabetic Retinal Degeneration Before Symptoms Appear

Researchers have developed an artificial intelligence model that identifies 71 specific blood proteins to predict the onset of retinal degeneration in diabetic patients before clinical symptoms manifest. The study, published in the journal *PLOS Medicine*, suggests that analyzing these protein markers could provide a diagnostic tool for detecting early-stage eye complications associated with diabetes.

Huangdong Li and a team of researchers from the Guangdong Provincial Clinical Research Center for Ocular Diseases in Guangzhou, China, conducted the study to determine if systemic protein levels correlate with ocular health. By utilizing machine learning to process data from these 71 proteins, the model assesses a patient’s risk profile for retinal damage. This approach aims to assist clinicians in identifying high-risk individuals earlier than current standard screening methods allow. The findings provide a potential framework for integrating blood-based biomarker analysis into routine diabetic care to monitor retinal health.

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Source: GO-AI-ne1

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Date: June 2, 2026

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GOAI