The Human Variable 

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).

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 .

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.

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

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