The Human Variable 

Autoimmune and immune-mediated illness rarely begins with a clear diagnosis. More often, it begins with patterns that repeat long before medicine assigns a label. Symptoms rise, fall, and cluster. Tests come back “normal.” Patients are told to wait, monitor, or manage symptoms. Yet the immune system is already behaving abnormally. This paper refers to that early, overlooked phase as Stage Zero autoimmune illness.

The Antiviral Pairing Logic framework synthesizes longitudinal field analysis across more than two hundred patient trajectories with in silico terrain modeling and real-world pharmacology. Durable response consistently follows three preconditions: immune stabilization to prevent cytokine rebound, mast cell and autonomic modulation before viral clearance, and energy and vascular repair after antigen reduction.

Remission in ME/CFS is often described as spontaneous, yet nothing about it is random. The illusion of rarity comes from measurement bias. We record symptoms, not trajectory. When patient data is plotted longitudinally rather than episodically, a clear pattern emerges. Remission occurs when the body’s internal feedback systems, immune, autonomic, and metabolic, temporarily synchronize

Innovative Orthostatic Intolerance & POTS Detection for Faster Diagnosis. Orthostatic intolerance and POTS are increasingly more common, disabling, and often missed until someone reads the chart as a timeline. The signs of these conditions already lives in routine positions and vitals clinicians collect anyway: triage after upright waiting, first supine on the bed, a short bathroom walk and return, and discharge.

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