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How To Reduce Your Pace Of Aging: Understanding Longevity and Biological Aging with Ryan Smith
The Joe Cohen Show
Comparing Blood-Based and Methylation-Based Algorithms for Age Prediction
The true age is more accurately predicted as a standalone, but let's talk about the exciting work of Morgan Levin in the field of epigenetics. She developed an algorithm using nine blood-based biomarkers and chronological age to predict biological age. She then trained DNA methylation to improve the accuracy of the predictions. Our publication shows that we created a blood-based algorithm that is 17% more predictive than Fino Age, using a larger group of 60,000 individuals. This demonstrates that including more data points improves age prediction. Aging is complex and variable, but with the right markers, accurate predictions can still be made.
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