Quantifying Biological Age With Aging.ai: 24 Blood Tests Since 2009

The maximal reduction for biological age when using the biological age calculator, Phenotypic Age, is ~20 years. In other words, if I’m 80 years old and my biomarkers are all reflective of youth, the lowest possible biological age will be ~60 years old. One reason for that is the inclusion of chronological age in the prediction of biological age, which adds strength to the correlation while simultaneously limiting the maximal biological age reduction.

To account for the possibility that youthful biomarkers at an older chronological age can yield a biological age that is more than 20 years younger, it’s important to quantify biological age using a tool that doesn’t include chronological age in its calculation. Aging.ai fits that criterion, and in the video I present biological age data with use of aging.ai for 24 blood tests since 2009.

Michael Lustgarten

Ph.D, Physiology, University of Texas Health Science Center at San Antonio, 2009 B.S., Biochemistry, Queens College, 2003 B.A, English Textual Studies, 1994, Syracuse University

2 thoughts on “Quantifying Biological Age With Aging.ai: 24 Blood Tests Since 2009

  1. Thank you, Michael. I can only encourage to keep going. Beside the excellent diet tracking you do (and I agree you overall see an effect) I do a quite similar BA tracking (plan to use other clocks, also blood based, not using CA and would like to at least have a baseline with DNA methylation), since ~15 years and use v1.0 (41 inputs, r=0.91 vs 0.8 for v3.0). I also try to compare v1.0 and v3.0. Inclusion or not of CA is debated in the literature. Of course, keep in mind aging.ai and Phenotypic Age are constructed in completely different ways, with a posteriori validation on mortality, as you have mentioned, for the former and a risk of mortality in the regression of cohort data for the latter.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Next Post

Microbes Affect The Hallmarks Of Aging: Mitochondrial Dysfunction (Part II)

Sat Jan 30 , 2021
The Hallmarks of Aging are well established, but what is less discussed is the impact of microbes. Viruses, including SARS-CoV-2 and HSV-1 cause mitochondrial dysfunction-more specifically, they cause mitochondria to release some of their DNA, which triggers antiviral immunity. When considering that blood levels of mitochondrial DNA increase during aging, […]
%d bloggers like this: