EPISODE · Jun 3, 2026 · 56 MIN
The Blood Test Your Doctor Never Orders (But Should): 100 Biomarkers & Biological Age Explained
from 90% Healthy · host Klaudia Balogh and Don Moxley
Klaudia's recent blood work came back with a surprise: her biological age clocked in 10 years younger than her real age, tracked across 100+ biomarkers by Mito Health. We brought in founder Kenneth Lou to break down exactly how that number is calculated, why the standard annual physical misses the markers that matter most, and how AI is making precision medicine accessible without a $20K clinic.Kenneth's father passed from a brain tumor at 54. That loss is the founding story behind Mito Health — and it shapes everything about how they think about early warning signals.In this episode:→ Why fasting insulin (not just glucose or A1C) is the early warning marker most labs skip→ The HOMA-IR formula — what it is and why it matters before pre-diabetes is even on your radar→ How Mito uses the Lineage 2 algorithm (developed with Dr. Brian Kennedy) to calculate biological age from 61 biomarkers→ Personalized reference ranges by ethnicity, age & gender — not the "Homer Simpson average"→ The Galleri multi-cancer early detection test and what "cancer signal detected" actually means→ Why Singapore is considered a manufactured Blue Zone — and what the US could learn from it→ How to compress a $20K longevity clinic experience into something Quest Labs can run for you today🔗 Mito Health: mitohealth.com🔗 Kenneth Lou on LinkedIn & Instagram: search @kennethloumito🔗 Klaudia: longevityjournalist.com🔗 Don: trainrecoverwin.com00:00 Intro — Klaudia's blood work came back 10 years younger01:35 Kenneth's background & why he founded Mito Health03:26 Singapore as a manufactured Blue Zone04:21 Brian Kennedy & Matt Kaberline connection05:29 What annual physicals get wrong07:08 The cash-pay health revolution10:07 HOMA-IR: the insulin resistance marker your doctor skips12:04 Glucose tolerance tests vs. a single fasting draw14:28 Optimal vs. acceptable vs. at-risk reference ranges15:39 Biological age: the Lineage 2 algorithm & 61 biomarkers17:57 How the algorithm was built (UK Biobank + NHANES)19:05 AI + human in the loop — where Rhonda comes in22:32 Getting results back the next day24:46 Who actually drives the purchase decision (hint: it's the wife)25:56 Early cancer detection — brain tumors, PSA, and the Galleri test27:23 Biohacking events, Brian Johnson, and the smarter-patient era30:04 Quest Labs everywhere — making precision health rural-accessible32:02 Compressing the $20K clinic experience33:37 Core, Pro, Ultra panels — what's in each tier35:27 Mercury, omega-3 check, allergy panels, AMH fertility markers38:03 Why cortisol testing time-of-day matters39:11 Supplement recommendations based on your actual deficiencies41:36 Gender differences in health data consumption43:22 What's coming next — biomarkers Quest doesn't run yet47:29 Singapore's polyclinic system vs. US healthcare50:35 Data as a trigger for behavioral change51:21 Kenneth's personal data story: Prolon fasting mimicking diet
What this episode covers
Klaudia's recent blood work came back with a surprise: her biological age clocked in 10 years younger than her real age, tracked across 100+ biomarkers by Mito Health. We brought in founder Kenneth Lou to break down exactly how that number is calculated, why the standard annual physical misses the markers that matter most, and how AI is making precision medicine accessible without a $20K clinic.Kenneth's father passed from a brain tumor at 54. That loss is the founding story behind Mito Health — and it shapes everything about how they think about early warning signals.In this episode:→ Why fasting insulin (not just glucose or A1C) is the early warning marker most labs skip→ The HOMA-IR formula — what it is and why it matters before pre-diabetes is even on your radar→ How Mito uses the Lineage 2 algorithm (developed with Dr. Brian Kennedy) to calculate biological age from 61 biomarkers→ Personalized reference ranges by ethnicity, age & gender — not the "Homer Simpson average"→ The Galleri multi-cancer early detection test and what "cancer signal detected" actually means→ Why Singapore is considered a manufactured Blue Zone — and what the US could learn from it→ How to compress a $20K longevity clinic experience into something Quest Labs can run for you today🔗 Mito Health: mitohealth.com🔗 Kenneth Lou on LinkedIn & Instagram: search @kennethloumito🔗 Klaudia: longevityjournalist.com🔗 Don: trainrecoverwin.com00:00 Intro — Klaudia's blood work came back 10 years younger01:35 Kenneth's background & why he founded Mito Health03:26 Singapore as a manufactured Blue Zone04:21 Brian Kennedy & Matt Kaberline connection05:29 What annual physicals get wrong07:08 The cash-pay health revolution10:07 HOMA-IR: the insulin resistance marker your doctor skips12:04 Glucose tolerance tests vs. a single fasting draw14:28 Optimal vs. acceptable vs. at-risk reference ranges15:39 Biological age: the Lineage 2 algorithm & 61 biomarkers17:57 How the algorithm was built (UK Biobank + NHANES)19:05 AI + human in the loop — where Rhonda comes in22:32 Getting results back the next day24:46 Who actually drives the purchase decision (hint: it's the wife)25:56 Early cancer detection — brain tumors, PSA, and the Galleri test27:23 Biohacking events, Brian Johnson, and the smarter-patient era30:04 Quest Labs everywhere — making precision health rural-accessible32:02 Compressing the $20K clinic experience33:37 Core, Pro, Ultra panels — what's in each tier35:27 Mercury, omega-3 check, allergy panels, AMH fertility markers38:03 Why cortisol testing time-of-day matters39:11 Supplement recommendations based on your actual deficiencies41:36 Gender differences in health data consumption43:22 What's coming next — biomarkers Quest doesn't run yet47:29 Singapore's polyclinic system vs. US healthcare50:35 Data as a trigger for behavioral change51:21 Kenneth's personal data story: Prolon fasting mimicking diet
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The Blood Test Your Doctor Never Orders (But Should): 100 Biomarkers & Biological Age Explained
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