An analysis of the Framingham Heart Study data found that higher epigenetic aging metrics predicted lower scores on the ...
STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...
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A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Urine-based aging clocks In the study, " A urinary microRNA aging clock accurately predicts biological age," published in npj Aging, researchers used machine learning to develop and validate a urinary ...
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