The Human Variable 

CYNAERA’s US-CCUC™ (Chronic Condition Undercount Correction – U.S.) model provides a corrected formula for estimating the real burden of ME/CFS. It builds on pre-pandemic cases, integrates the Long COVID surge, and corrects for the 80–90% of patients who were always there — but never diagnosed. Whether you lean on the cautious estimate of ~9.5 million Americans or the more realistic ~21.5 million, the message is the same: ME/CFS is a condition that rivals the scale of diabete

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.

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 Underdiagnosis, outdated clinical criteria, systemic bias, and institutional inertia have obscured its true scale.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.

They called your symptoms anecdotal. They called your story rare. But inside your medical records, flare journals, and sleepless nights is the dataset no one bothered to decode. This isn’t just a blog post, it’s a call to reclaim your role as more than a subject. Inside, we share how a self-paced case study course helps patients and caregivers turn lived experience into lasting change.

AI hallucinations aren’t a quirk, they are a liability. You have seen the headlines about chatbots reinforcing delusions, inventing facts, and flattering users into risk. That is why my CYNAERA method turns lived patterns into public math, then runs a double blind, multi-model gauntlet before anything touches a client.

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 .