Ep. 36 - Biomarkers 101: Turning Health Data Into Better Decisions

Biomarkers are everywhere in health, fitness, and wearable technology—but more data doesn’t always mean better insight. In this episode of Metabolic Mastery, Dr. Marc Humbert and Dr. Cameron Garber break down what biomarkers actually are, why not all biomarkers are created equal, and how misleading metrics can obscure meaningful health decisions.

The conversation cuts through buzzwords like “cellular fitness,” “biological age,” and proprietary health scores to explain the difference between measured, calculated, and extrapolated biomarkers. You’ll learn why standardized testing conditions matter, how poor data can lead to decision paralysis, and why the best biomarkers don’t give answers—they help you ask better questions.

If you’ve ever wondered whether your health data is actionable or just decoration, this episode provides a clear framework for evaluating biomarkers and using them responsibly to improve real-world health outcomes.

What You’ll Learn
What a biomarker actually is—and why definitions matter

The three tiers of biomarkers: measured, calculated, and extrapolated

Why more biomarkers do not automatically mean better insight

How marketing-driven health scores can mislead patients and clinicians

Why VO₂ max is a powerful biomarker—and where its limits are

The importance of standardized testing conditions for repeatable results

How wearables can create anxiety and decision paralysis when misused

Why biomarkers should reduce uncertainty, not add noise

How good data leads to better questions—not instant answers

A practical framework for deciding which biomarkers are truly useful

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