Our scoring engine is calibrated against 128,000+ real NHANES research participants, three landmark clinical trials, and over 5,000 peer-reviewed studies on immune biology. The training dataset for the V23 engine is ~95,000 survey-weighted records.
The "normal" ranges printed on your blood work are derived from the average of the general population — a population where 42% are obese, 37% have pre-diabetes, and chronic disease is the norm. "Normal" means you're not sicker than the average American. It tells you almost nothing about how fast your biology is aging.
Standard reference ranges are built from a cross-section of whoever walked into the lab. We calibrate against the top-performing quartile of the NHANES national dataset.
A flat NLR threshold of 3.0 ignores that expected NLR rises from 1.5 at age 20 to 3.0 at age 70. Our model corrects for your age cohort before scoring your result.
Your doctor looks at individual cell counts for signs of acute infection. We look at ratios as a proxy for hematopoietic stem cell drift — the primary cellular mechanism of immune aging.
As we age, the bone marrow's hematopoietic stem cells (HSCs) shift production away from adaptive immune cells (lymphocytes — your precision defenders) toward myeloid cells (neutrophils and monocytes — your blunt-force responders). This "myeloid skew" is the primary cellular signature of immune aging. It is measurable from a standard blood count.
High adaptive capacity. Efficient, targeted immune response. Immune surveillance active.
Chronic myeloid activation. Blunted adaptive response. Immunosuppressive microenvironment.
This shift — quantified by the NLR, SIRI, and PIV ratios — is associated with accelerated biological aging patterns across thousands of peer-reviewed population studies. It is detectable from a standard blood count years before symptoms appear.
We score six primary immune signaling ratios, each independently validated as population-level wellness indicators in peer-reviewed research.
The most widely studied immune ratio. A rising NLR signals myeloid skewing and correlates with accelerated biological aging patterns in large population cohort studies.
5,000+ PubMed studiesSIRI = (Neutrophils × Monocytes) / Lymphocytes. Models the aging of the bone marrow environment itself. A high SIRI signals the pro-inflammatory immunosuppressive microenvironment.
Studied in 12 major research contextsIntegrates Platelets, Neutrophils, Monocytes, and Lymphocytes into a single composite score. Higher sensitivity for detecting chronic low-grade systemic inflammation patterns.
Emerging research standardThe most clinically accessible marker of systemic inflammation. Even "low-normal" CRP in the 1.0–3.0 mg/L range is associated with less favorable biological aging patterns over 10+ year follow-up in population studies.
Tier 1 inflammaging markerHigh RDW indicates elevated cellular turnover stress and is independently associated with less favorable outcomes in multiple large cohort studies. Often overlooked in standard wellness reviews.
Key Aging BiomarkerReflects average blood sugar exposure over 90 days. Even sub-diabetic HbA1c above 5.4% drives Advanced Glycation End-products (AGEs) — a key mechanism of tissue cross-linking and structural aging.
Metabolic wellness markerThe Thymus Regeneration, Immunorestoration, and Insulin Mitigation (TRIIM) trial was the first peer-reviewed study to demonstrate measurable reversal of epigenetic age using a pharmacological and nutritional protocol. Our biological wellness model uses the TRIIM biomarker framework as its foundational calibration reference.
This randomized controlled trial demonstrated that a structured diet, sleep, exercise, and supplement protocol produced statistically significant improvement in epigenetic age markers in healthy adults. The 8-week intervention required no drugs — the foundation of our lifestyle education protocol.
The National Health and Nutrition Examination Survey provides the population reference backbone for all ImmuneSpan Wellness Scores. Rather than comparing you to clinical "normal" ranges, we model your biomarkers against this large nationally representative sample — calibrated to optimal-performing age cohorts. The V23 engine trains on ~95,000 survey-weighted records.
The ImmuneSpan Engine V23.0.0 uses a Cox Proportional Hazards model trained on ~95,000 NHANES population records with survey weights to compute martingale residuals — age-adjusted population deviation scores. We do not hide our methodology.
The $99 Full Report uses the V23 Cox Proportional Hazards engine trained on ~95,000 survey-weighted NHANES records. Martingale residuals are scaled (7 years/SD) and smoothed (0.60 factor) to compute Immune Age. Phenotype assignment uses K-means clustering (k=12) on a PCA-transformed biomarker feature space. Missing values are handled via Bayesian iterative imputation with population-median fallback.
NLR captures one dimension of immune wellness. The Full Report scores all five — each with its own validated biomarkers, threshold calibration, and educational context.
How active is systemic chronic inflammation right now? The primary driver of accelerated biological aging patterns across all tissues, detectable via immune ratio markers.
How efficient is glucose and lipid metabolism? Metabolic patterns drive glycation, oxidative stress, and vascular changes visible in standard blood biomarkers.
What is the overall composition and balance of your immune cell populations? This dimension captures the myeloid-adaptive balance at a population-comparison level.
How are the liver and kidneys performing? Organ wellness biomarkers reflect systemic burden and the body's filtering and processing capacity.
What do red blood cell morphology markers reveal about cellular production and turnover? This dimension captures bone marrow health and red cell population stress patterns.
The Full Report assigns you to one of 12 wellness archetypes via K-means clustering on your PCA-transformed biomarker profile. Each archetype has a distinct wellness pattern and education protocol.
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