The Human Variable 

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

Using CYNAERA’s US-CCUC™ (U.S. Chronic Condition Undercount Correction – Pediatric Edition) methodology, we estimate 1.5–3 million U.S. children and adolescents and 10–20 million globally meet ME/CFS criteria in 2025.

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating, multi-system neuroimmune disease on par with multiple sclerosis or congestive heart failure in severity, but for decades, it’s been sidelined by global health systems. Underdiagnosis, outdated clinical criteria, systemic bias, and institutional inertia have obscured its true scale. The result: tens of millions worldwide excluded from diagnosis, care, or recognition.

Les Affections Chroniques Associées à une Infection (IACCs), y compris le Covid Long, l'Encéphalomyélite Myalgique/Syndrome de Fatigue Chronique (EM/SFC), le Syndrome de Tachycardie Orthostatique Posturale (POTS), le Syndrome d'Activation des Mastocytes (SAMA), les Affections Pédiatriques PANS/PANDAS et les syndromes post-infectieux persistants tels que le Lyme chronique, émergent de perturbations systémiques qui se chevauchent

The CDF-ME framework captures between 88–94% of patients who meet International Consensus Criteria (ICC), Canadian Consensus Criteria (CCC), or the National Academies of Sciences, Engineering, and Medicine (NASEM) diagnostic criteria, regardless of whether their illness was triggered by infection, vaccination, physical trauma, or environmental exposure. Validated through CYNAERA’s AI engine and over 200,000 patient simulations, CDF-ME integrates high-specificity markers .

A Nobel-scale leap, built outside the system. This isn’t just another CRISPR project. CYNAERA’s AI-powered gene editing platform was designed by a patient, for patients—modeling remission across millions of synthetic profiles to restore immune stability in infection-associated chronic conditions like Long COVID, ME/CFS, and MCAS. It cuts years off clinical trial timelines. It eliminates $5–10 million in early development costs. It’s scalable and ethical globally. AI meets bio