Kayser Medical
Building the Regulatory Layer Between Humans and AI.
Clinical Genetics · AI Safety Research · Physiological Intelligence Systems
Dr. Michael Kayser, DO, FACMG — combining 30 years of clinical medicine with frontier research in how human physiology can govern artificial intelligence.
The Problem
Current AI Has No Physiology.
Current AI systems assume users are cognitively stable. But human cognition fluctuates with stress, fatigue, illness, and emotional state.
AI that ignores physiology creates systemic risk — especially in healthcare, education, and finance.
Cognitive signal degradation under physiological stress
The Solution
Resona OS — Physiological Intelligence.
Not artificial intelligence. Physiological intelligence.
Resona measures human physiological state in real time — HRV, breathing, behavioral signals — and regulates AI interaction accordingly. A safety gate between human biology and machine response. Currently in active self-study development (n=1).
Coherence State Index
Real-time classification of human regulatory state derived from HRV, breathing patterns, and behavioral signals.
CUST Gate
AI output gated by user stability thresholds. When coherence falls below threshold, system intervention activates.
Adaptive Response
AI slows, simplifies, and supports when physiology is dysregulated. Pacing matched to the human, not the machine.
System Flow
Research
A Pattern Language for Complex Systems.
The Quantum Oscillator Theory of Everything (QOTE) proposes that stable systems — biological, computational, economic — share a common feedback topology: prediction → error → correction.
The same loop that governs cerebellar learning governs machine learning gradient descent. Resona is built on this mathematics.
Provisional patents filed. Academic submissions in progress.
| System | Feedback Loop |
|---|---|
| Cerebellum | Prediction error correction |
| Machine learning | Gradient descent |
| Ecosystems | Population feedback |
| AI training | Loss minimization |
Clinical Practice
Precision Medicine for Medically Complex Children.
Board-certified clinical geneticist and pediatrician specializing in nervous system dysregulation, hypermobility disorders, and autonomic dysfunction in pediatric patients.
reduction in dissociative episodes in a single-subject HRV biofeedback protocol
n=1 self-study. Expanded cohort protocols in development.
Projects
Active Work
Publications & Writing
Research & Writing
Contact & Collaboration
Looking for collaborators.
Seeking investors, clinical researchers, AI engineers, and institutional partners who understand that the next frontier of AI safety is physiological.