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A recent study has shown that artificial intelligence can predict the risk of developing Metabolic Fatty Liver Disease up to 16 years before clinical symptoms appear. Researchers used blood protein analysis combined with AI algorithms on samples from over 50,000 individuals to identify a biomarker fingerprint that accurately forecasted the likelihood of the disease, opening the door for early intervention and prevention before the disease progresses. This approach represents a radical shift in preventive medicine, especially in regions with high rates of obesity and diabetes, such as the Arab world, where it can improve healthcare and reduce costs through early detection of future risks.
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