The Human Variable 

The Diagnostic Acceleration Blueprint™ modernizes IACC diagnostics by combining reuse-first biospecimen pipelines, digital consent, and ML-driven multi-system fingerprints. This framework cuts timelines by 95%, costs by 99%, and eliminates multi-year delays rooted in outdated systems.

Chronic, multisystem collapse following infectious, environmental, or immunological insult has become one of the defining biomedical failures of the twenty-first century. The Unified Network Collapse Theory (UNCT™) reframes ME/CFS, Long COVID, POTS, MCAS, autoimmune destabilization, and post-vaccination or post-surgical syndromes as diversified expressions of a single systems-failure mode: Neuro-Immune-Autonomic Network Collapse. This framework is supported by decades of frag

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.

CYNAERA REPURPOSED™ accelerates drug discovery for infection-associated chronic conditions like Long COVID and ME/CFS. Using AI-driven terrain modeling, it cuts repurposing timelines from years to weeks—identifying multi-indication therapies, reducing cost by up to 90%, and advancing patient-ready treatments through intelligent simulation.

By October 2025, CYNAERA’s federal-scale models identified between $1.05 trillion and $3.45 trillion in potential annual savings for the United States through modular frameworks that stabilize health, accelerate remission, and optimize budgetary flow across SSA, CMS, VA, and FEMA

The COVID-19 pandemic has added another layer of immune instability through persistent inflammation, viral reactivations, and population-wide biologic stress . CRATE™ converts these complex dynamics into actionable modeling signals to inform future prevention strategy