This repository contains the biological, neurological, and medical branch of the Symmetrical Convergence (SymC) research program.
SymC is a unifying physical framework built around a single governing principle: adaptive systems achieve maximal stability and information efficiency at the critical damping boundary. Across domains, failure, disease, and inefficiency arise when systems drift into underdamped (chaotic) or overdamped (rigid) regimes.
Within biology and medicine, this manifests as:
- Disease as control instability, not isolated pathology
- Comorbidity as phase-shifted expressions of a shared stability substrate
- Treatment as boundary restoration, not symptom suppression
This repository consolidates the SymC work that applies these principles to viral dynamics, oncology, neurodegeneration, pain, addiction, psychiatric instability, and adaptive therapeutic control.
Across the SymC bio program, we have:
- Reframed biological regulation as a dynamical control problem
- Unified chronic disease, neurodegeneration, and mental illness under shared stability mechanics
- Introduced stability ratios and phase metrics as actionable diagnostic tools
- Demonstrated how adaptive intervention outperforms static treatment strategies
- Linked molecular, cellular, neural, and behavioral dynamics within a single substrate model
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SymC Viral Control: A Stability-Ratio Method for Adaptive Therapeutic Dynamics DOI: https://doi.org/10.5281/zenodo.17651256
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Optimal Control Theory in Oncology (SymC Oncology Framework) DOI: https://doi.org/10.5281/zenodo.17507544
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Prodromal Critical Cascade in Parkinson's Disease: A SymC Framework for Early Detection, Phenotype Dynamics, and Precision Intervention DOI: https://doi.org/10.5281/zenodo.17645851
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SymC Neurostability Principle: The Governing Physics of Alzheimer's and Dementia Instability Architectures DOI: https://doi.org/10.5281/zenodo.17766309
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Neuroelastic Resonance Instability: A SymC Critical-Damping Principle of Addiction and Neural Control Failure DOI: https://doi.org/10.5281/zenodo.17782917
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The Nociceptive Stability Principle: SymC Substrate Architecture for Adaptive Pain Control DOI: https://doi.org/10.5281/zenodo.17924428
- SymC Boundary Dissolves Comorbidity Paradox: Redefining the Phase-Shifting Mechanical Lineage of Mental Illness as Neuro Stability Disorder DOI: https://doi.org/10.5281/zenodo.17937287
The following papers inform the biological models but are housed in other SymC repositories:
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Critical Chemical Equivalence (CCE): The SymC Principle Governing Catalysis and Reactivity DOI: https://doi.org/10.5281/zenodo.17891563
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SymC Noughts: Understanding the Electromagnetic Vacuum as a Physical Substrate DOI: https://doi.org/10.5281/zenodo.17633509
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SymC Adaptive Intelligence Framework (AIF): Critical Damping and Information Efficiency Across Classical–Quantum Systems DOI: https://doi.org/10.5281/zenodo.17565787
This repository is intended for:
- Researchers exploring systems biology and disease dynamics
- Clinicians interested in adaptive, phase-aware intervention models
- Control theorists applying feedback principles to living systems
- AI and computational biology teams developing adaptive treatment algorithms
Each paper is designed to be read independently, but together they form a single, closed theoretical system.
All works are archived on Zenodo and may be cited individually via their DOIs.
If referencing the SymC bio framework as a whole, please cite the relevant primary paper(s) alongside the foundational SymC boundary postulate.
This repository represents a mature, internally consistent branch of the SymC research program. Future updates may include:
- Clinical validation datasets
- Computational simulation modules
- Adaptive control implementations
Core theory is considered stable.