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The Human Variable
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CRISPR Remission for Complex Regional Pain Syndrome (CRPS) : A Flare-Aware Gene Editing Framework
CRISPR Remission™ for CRPS integrates gene editing, environmental triggers, and flare-aware timing to enable durable stabilization in complex regional pain syndrome.
Apr 5


Enhancing CRISPR Safety in Sickle Cell Disease Using State-Dependent Intervention
CYNAERA introduces a terrain-responsive , state-dependent CRISPR safety framework for sickle cell disease, integrating AI-driven targeting, timing optimization, and simulation modeling to reduce risk, lower costs, and enable scalable, more accessible gene therapy deployment across complex chronic conditions.
Mar 24


Global Long COVID Prevalence: The CCUC™ Tiered Framework
Under our CCUC™ model 650–900 million cumulative global Long COVID cases is the more realistic planning band, and the true upper burden may exceed that under ongoing reinfection and chronic invisibility. Long COVID is not a niche aftermath. It is a mass disabling event, a chronic illness multiplier, and a global systems challenge woven into labor, education, family stability, and future health burden.
Mar 15


The Hidden Public Health Cost of AI Data Centers
AI-driven environmental amplification interacts with a large and growing population of individuals with infection-associated chronic conditions (e.g., Long COVID, ME/CFS), who exhibit heightened physiological sensitivity to environmental triggers such as fine particulate matter (PM₂.₅), heat stress, and atmospheric instability.
If you want an alternate tone that leans slightly more policy-facing:
Mar 8


FEMA Wildfire Response Addendum Protocols for IACC (2025-2026)
Climate accelerated wildfires, burning over 7.7 million acres in 2020–2021, threaten the 65–75 million Americans with Infection-Associated Chronic Conditions (IACCs), including Long COVID, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), Postural Orthostatic Tachycardia Syndrome (POTS), Mast Cell Activation Syndrome (MCAS), and Small Fiber Neuropathy (SFN)
If you want an alternate tone that leans slightly more policy-facing:
Mar 7


Aligned Intelligence Method (AIM™)
The Aligned Intelligence Method (AIM™) is a human-readable, machine-interpretable knowledge framework that embeds interpretive guardrails directly into source documents. AIM aligns lived patterns, longitudinal data, domain reasoning, and environmental context into unified analytic references that support both human understanding and consistent AI interpretation.
Feb 16
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