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The Human Variable
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State-Level ME/CFS Prevalence Methodology
Using CYNAERA’s recalibrated tiered prevalence model, weighted for environmental exposure, access to paid sick leave, and diagnostic inequity, we estimate that around 14.4 million Americans currently meet the diagnostic criteria for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).
Aug 25


Global-CCUC™: CYNAERA Tiered Model for Global ME/CFS Prevalence
The Global-CCUC™ (Chronic Condition Undercount Correction – Global) model provides a recalibrated framework. By weighting diagnostic suppression, environmental terrain, social protections, clinical awareness, and pandemic burden, it reveals a truer picture: 94–127 million conservative cases and 220–290 million upper-bound cases worldwide.
Aug 24


Comprehensive ME/CFS Overview – Correcting Undercounts and the Global Public Health Crisis
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 Underdiagnosis, outdated clinical criteria, systemic bias, and institutional inertia have obscured its true scale.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.
Aug 24


A Nobel-Scale Advance: AI-Powered CRISPR Platform to End Infection-Associated Chronic Conditions - Lite
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
May 8


The Pathophysiology of Infection-Associated Chronic Conditions
Infection-associated chronic conditions (IACCs) such as Long COVID, ME/CFS, POTS, and MCAS are not disparate diagnoses — they are systemic sequelae following immune injury. For too long, medicine has treated these illnesses as anomalies or mysteries, when in fact, they follow a biologically predictable pattern of dysregulation.
Apr 29


Data Privacy in Chronic Illness Management: Trusting AI with Your Health
As AI technology continues to revolutionize healthcare, one crucial aspect that cannot be overlooked is data privacy and security.
Apr 11
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