The Human Variable 

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.

Clinician Guide For MECFS Therapeutics: Built from CYNAERA Diagnostic Fingerprints™ + IACCI Terrain Logic + XR/CR Pharmacology Doctrine

For decades, ME/CFS has been treated as a monolith in research, despite overwhelming evidence of heterogeneity across patients. This failure to stratify has been a primary driver of trial collapse, clinical mismanagement, and neglect. The CYNAERA 25+ ME/CFS Phenotyping List integrates biological, environmental, and social terrain factors into a structured classification system.

Clinical trials for ME/CFS have consistently failed not because therapies were inherently ineffective, but because the system was never built for conditions like ME/CFS and related IACCs. FDA gold-standard trial design assumes predictable progression, uniform subtypes, and tolerance for interventions — none of which apply to ME/CFS The CYNAERA Thesis asserts that repurposed drugs can work for ME/CFS if trials account for post-exertional malaise (PEM),(MCAS), and POTS

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.

Using CYNAERA’s US-CCUC™ model, we present a corrected demographic landscape grounded in published science, epidemiological data, and terrain-calibrated prevalence modeling. For the first time, undocumented immigrant populations and ancestral dietary biology are incorporated as visible drivers of disease prevalence. Our analysis demonstrates that half of Americans with ME/CFS are non-white, and that prevalence in certain groups is likely higher when adjusted for baseline into