The Human Variable 

The CYNAERA Primary Chronic Trigger (PCT) framework embeds PEM as a probability-weighted conversion event inside a prevalence model that accounts for viral exposure, environmental load, climate volatility, and recovery suppression. Modeled remission rises from historical 12–18 percent toward 35–50 percent under PEM-aware, terrain-timed designs, with early-intervention subsets reaching 42–60 percent in best-case conditions.

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

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

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

As AI technology continues to revolutionize healthcare, one crucial aspect that cannot be overlooked is data privacy and security.

Every platform is flooded with metrics, but the signal systems built to interpret them haven’t evolved at the same pace as the chaos.