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The Significance of Longitudinal Data in Biologic Age Testing
The speakers highlight the significance of biologic age testing in optimizing health and lowering the risk of chronic diseases. They explore various models, including the Dine and Pace model and the Omik model, that utilize longitudinal data and biomarkers to track aging rates and comprehend the correlation between epigenetic changes and disease vulnerability.