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The Human Variable
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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


What Changes in Your Child’s Gaming May Be Telling You
Parents often notice changes in gaming before anyone else notices changes in health. A child who once enjoyed fast, demanding games may suddenly avoid them. Another may become intensely focused on one specific game or routine. Some children begin choosing calmer, slower, or more predictable games that simply feel better, even if they cannot explain why. This may be early clues inside a very large and still underrecognized pediatric infection-associated chronic illness.
Mar 14


Mold Exposure as a Flare Amplifier in ME/CFS
For many people living with ME/CFS, myself included, mold exposures contribute to flare instability, worsening fatigue, cognitive dysfunction, headaches, autonomic disruption, and reduced functional capacity. What appears to be a sudden symptom crash may, in many cases, reflect the interaction between chronic illness and a destabilizing indoor environment.
Mar 9


The Moral Adinig Method™: A Framework for Harm-Aware AI Learning
The Moral Adinig Method™ is a harm-aware AI training framework that embeds contextual reasoning, moral memory, and relational identity scaffolding to improve safety and reliability. Cross-model evaluations show reduced harmful recommendations, stronger bias translation into protective guidance, and improved decision integrity in complex, high-risk environments without modifying model weights.
If you want an alternate tone that leans slightly more policy-facing:
Feb 28


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


Corrected National Prevalence Estimates for Infection-Associated Chronic Conditions (IACCs)
When corrected through the US-CCUC™ framework, the combined burden of the ten most prominent infection-associated chronic conditions is estimated to affect approximately 75–90 million Americans, with 25–35 million individuals experiencing multiple overlapping conditions. Long COVID alone likely affects a population approaching 65 million adults over time when accounting for diagnostic undercounting and relapsing disease trajectories.
Aug 29, 2025
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