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Self-Paced8–10 Weeks

Biomarker Mastery

A 10-module science-first course covering how to read blood panels beyond normal ranges, metabolic and cardiovascular biomarkers, inflammation, hormonal health, micronutrient status, wearable data interpretation, continuous glucose monitoring, and building a personal health dashboard. The bridge course between natural optimisation and advanced clinical protocols — understand your data before you intervene.

$297

10/10 lessons available

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10 Lessons

W1

1.1: Normal vs. Optimal — The Reference Range Trap

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How reference ranges are calculated from an unwell population, the critical distinction between clinical disease and subclinical dysfunction, healthspan vs. lifespan, and why you must become the CEO of your own health data.

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W2

1.2: The Comprehensive Blood Panel

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The limitations of the standard annual physical, CBC, CMP, and lipid panels explained, the importance of testing fasting insulin, and how often to test for longevity.

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W3

1.3: Metabolic Markers — Glucose, Insulin, and HbA1c

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Optimal ranges for fasting glucose, fasting insulin, and HbA1c. The HOMA-IR calculation and why fasting insulin is the earliest warning of metabolic dysfunction.

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W4

2.1: Lipids and Cardiovascular Risk — Beyond LDL

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Why ApoB is the ultimate cardiovascular risk marker, the triglyceride-to-HDL ratio, Lipoprotein(a) and genetic risk, and oxidised LDL.

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W5

2.2: Inflammation — The Silent Killer

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Understanding hs-CRP (optimal below 1.0 mg/L), homocysteine and vascular inflammation, ferritin and methylation, and dietary and lifestyle interventions to lower chronic inflammation.

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W6

2.3: Hormonal Health — Testosterone, Oestrogen, and Cortisol

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Total vs. free testosterone and SHBG, the oestradiol balance, the cortisol diurnal curve, and DHEA-S as the anti-ageing hormone.

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W7

2.4: Nutrient Status — Vitamin D, B12, and Iron

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Optimal Vitamin D levels (40–60 ng/mL), RBC Magnesium vs. serum magnesium, ferritin, iron, and TIBC, B12, folate, and the MTHFR gene.

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W8

3.1: Wearables — Sleep, HRV, and Recovery

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How to interpret HRV (highly individualised), the importance of low resting heart rate, sleep architecture tracking, avoiding orthosomnia, and integrating wearable trends with blood data.

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W9

3.2: Continuous Glucose Monitoring (CGM) Data

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Time in Range vs. average glucose, identifying personal spiker foods, the impact of poor sleep on next-day glucose, and using post-meal movement to blunt spikes.

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W10

3.3: Integration — Building Your Personal Health Dashboard

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Creating a biomarker tracking system, setting personal optimal ranges, the hierarchy of interventions, when to consult a functional medicine practitioner, and N=1 experimentation.

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This site is not a medical website nor does it prescribe or recommend any prescription medication. SEVYN is strictly an educational platform.

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