The Human Variable 

The Physics of Survival reframes human stability as the core infrastructure of civilization. This white paper introduces Terrain Intelligence—a unifying systems framework that links space medicine, chronic illness, and climate resilience under one predictive model. Drawing on NASA Human Research Program findings and longitudinal public-health data, Cynthia Adinig demonstrates that physiological collapse in microgravity mirrors the same autonomic and immune failure seen in Lon

FEMA’s flood plans overlook infection-associated chronic conditions now affecting one-quarter of U.S. adults. This CYNAERA white paper introduces biologic disaster modeling using US-CCUC™, ESA™, VitalGuard™, and MoldX™ to forecast medical surges from mold, heat, and power loss. Applying these systems could prevent 70 percent of non-trauma ER visits and save $7.4 billion annually in federal costs.

Here I apply CYNAERA’s analytical framework to the unlikely case of a consumer snack, Frito-Lay’s Baked Lay’s, as an emergent functional-nutrition platform for dysautonomia and MCAS patients. Using CYNAERA’s prevalence modeling (US-CCUC™, S³™, Pathos™, SymCas™, BRAGS™) and global market-behavior analytics, I examine how a legacy brand could reposition a common product into a precision-nutrition solution. A $3 billion opportunity in plain sight.

Developed through over 40 failed trial reconstructions of 20+ conditions, SPARC™ decodes clinical heterogeneity using patient-derived intelligence and CYNAERA’s AI-integrated logic stacks. Each failed trial costs between $20–40 million, and in rare or stigmatized conditions, these failures permanently deter further investment. Most failed trials didn’t fail because the drug was weak. They failed because the patient groups were misread.

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

STAIR is a structured method for helping hypersensitive patients safely prepare for new exposures: medications, supplements, clinical trials, or even food reintroductions. It’s designed specifically for bodies that traditional medicine excludes, the “too sensitive,” the “too complex,” the “we don’t know what to do with you.”