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Aging Decoded > News > Podcast > Is AI the Ultimate Biological Clock? Inside the Tech Rewriting How We Age
Podcast

Is AI the Ultimate Biological Clock? Inside the Tech Rewriting How We Age

Aging Decoded
Last updated: August 19, 2026 6:59 pm
By Aging Decoded
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Is AI the Ultimate Biological Clock? Inside the Tech Rewriting How We Age
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https://content.rss.com/episodes/392476/2949820/aging-decoded/2026_06_29_05_58_49_9197f367-b726-4e51-99ff-5d0d8a4e6f71.mp3

Imagine getting a real-time, personalized dashboard on your phone showing exactly how fast or slow your body is aging. Today, that isn’t science fiction—it is the reality of AI crashing into longevity research. In this episode of Aging Decoded, co-hosts David and Liz strip away the tech-bro hype to look at how machine learning is rewriting the rules of health.

We break down the actual tools changing the game right now: how AI sifts through data from your everyday wearables to flag hidden inflammatory spikes, the truth about using Continuous Glucose Monitors (CGMs) as metabolic crystal balls, and the advanced science behind “biological clocks” like epigenetic and blood-based lab tests. We also peek into the future to see how AI is accelerating the discovery of advanced treatments like senolytics, gene editing, and stem cell therapies.

But we don’t lose sight of reality. No piece of tech can out-run a junk diet or zero sleep. We talk about how to use these metrics as a guide—not a fortune teller—and how to take this data to your doctor to build a real-world, practical plan.

Read our full reporting on the tech revolution and access all our health resources at AgingDecoded.com.

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Aging Decoded
By Aging Decoded
Shawn Spainhour is the Managing Editor of Aging Decoded, where he leads editorial strategy and content development at the intersection of longevity science, health optimization, and emerging technology. With a deep interest in how modern science can extend both lifespan and healthspan, Shawn curates and oversees reporting on the latest breakthroughs in nutrition, biomarkers, preventive medicine, and biohacking. Drawing on years of experience in digital media and health research, Shawn brings a data-driven, skeptic's eye to the complex world of anti-aging science — cutting through hype to surface what the evidence actually supports. His work is grounded in the belief that living longer means living better, and that the tools to do so are increasingly within reach for everyone.

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