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Interpretable machine learning with SHAP analysis identifies redox-modulating dietary antioxidants for predicting accelerated biological aging.
Experimental gerontology·July 1, 2026·PMID 42119652
Why it mattersIt provides a data-driven ranking of specific dietary antioxidants most predictive of biological aging, moving beyond generic antioxidant advice. For clinicians interested in longevity and preventive nutrition, it highlights measurable intake targets that may warrant attention in patient counseling or risk assessment.
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