The Human Variable 

Using a multi-model estimation approach, we project that 8–12 million Americans may be experiencing chronic health impacts following vaccination, with 40–50 percent facing functional disability. The associated annual economic burden ranges from $100 to $500 billion. We propose that the adoption of immune-informed readiness protocols could prevent up to 1.6 million cases annually, saving $20–40 billion per year.

The CYNAERA ME/CFS Individualized Regimen Engine™ is an educational modeling framework that simulates phased strategies for ME/CFS care. Built on CYNAERA’s ecosystem of validated modules — including Treatment Archetypes, Phenotyping Framework, Pathophysiology Drivers, and the Path of Remission Model — the Regimen Engine demonstrates how individualized patient care can be systematically structured.

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is profoundly sensitive to environmental stressors. Pollutants such as polycyclic aromatic hydrocarbons (PAHs), particulate matter (PM₂.₅, PM₁₀), nitrogen dioxide (NO₂), ground-level ozone (O₃), sulfur dioxide (SO₂), and volatile organic compounds (VOCs), combined with weather triggers like heat, cold, barometric pressure swings, mold, humidity, and pollen, drive flares that push patients into cycles of severe disabi

CYNAERA has the first clinical intelligence system designed to simulate and stratify patient response across the full complexity of infection-associated chronic conditions (IACCs) such as ME/CFS, Long COVID, POTS, MCAS, EDS, Lyme, CRPS, and related syndromes. Unlike traditional models that flatten patients into crude categories, CYNAERA builds individualized profiles across 11 stratification axes and integrates them with six mechanistic phenotyping domains.

CYNAERA’s PHAROS™ + REWIRE™ framework introduces a longitudinal, multi-pathway diagnostic system. By tracking cytokine rhythms over days, mapping vagal-histaminergic amplification, and integrating viral reactivation profiles, PHAROS™ + REWIRE™ replaces linear models with terrain-aware detection. This paper expands on the biological foundations of this model, critiques failed legacy approaches, and outlines a replicable path to mechanism-specific, real-world diagnostics.

The Va-IRI™ (Vaccination Immune Readiness Index) provides a structured 0–100 readiness score derived from common labs, symptom baselines, and patient function. Built on the STAIR Stable Method™ (Stabilization, Tolerance, And Immune Readiness), Va-IRI™ adapts low-and-slow principles pioneered by patients and refined through collaboration with leading researchers.