Symmetrical Convergence (SymC) — Biomedical Repository
Branch: Biology, Medicine, Neurobiology
This repository contains the biomedical branch of the Symmetrical Convergence (SymC) research program. SymC is a physical control framework describing how adaptive systems maintain stability near a critical damping boundary and how failure emerges when regulatory bandwidth is lost. In biological systems, this manifests as disease driven by control failure rather than isolated pathology, comorbidity as phase-shifted expressions of shared instability, and progression as a mechanical lineage rather than stochastic degeneration.
Scope. Viral dynamics, oncology, neurodegeneration, pain, addiction, psychiatric instability, and adaptive therapeutic control. Across these domains, SymC reframes biological regulation as a dynamical control problem, introduces stability ratios and bandwidth constraints as diagnostic primitives, links molecular, cellular, neural, and behavioral dynamics via substrate inheritance, and demonstrates why state-aware intervention outperforms static treatment strategies.
Canonical Biomedical Frameworks.
Genomic Regulatory Instability (GRI).
Mapping the Mechanical Lineage of Regulatory Control Failure in Malignancy.
DOI: https://doi.org/10.5281/zenodo.18435475
The canonical oncology framework. Cancer is modeled as a phase transition driven by regulatory bandwidth exhaustion and irreversible substrate capture, empirically grounded in TCGA Pan-Cancer RNA-seq data.
Optimal Control Theory in Oncology (SymC Oncology v1–v3).
DOI: https://doi.org/10.5281/zenodo.17507544
Earlier control-theoretic oncology framework focused on adaptive therapeutic dynamics. Conceptually superseded by GRI and retained for historical and methodological context.
SymC Viral Control.
DOI: https://doi.org/10.5281/zenodo.17651256
Demonstrates rebound, rigidity, and adaptive control failure in viral systems.
Neurodegeneration.
Prodromal Critical Cascade in Parkinson’s Disease — https://doi.org/10.5281/zenodo.17645851
Neurostability Principle (Alzheimer’s & Dementia) — https://doi.org/10.5281/zenodo.17766309
Pain, Addiction, and Neural Control Failure.
Neuroelastic Resonance Instability (Addiction) — https://doi.org/10.5281/zenodo.17782917
Nociceptive Stability Principle (Pain) — https://doi.org/10.5281/zenodo.17924428
Psychiatric Stability.
Neuro Stability Disorder (Comorbidity) — https://doi.org/10.5281/zenodo.17937287
Related Cross-Domain SymC Works.
Closing Gaps — https://doi.org/10.5281/zenodo.17624098
Critical Chemical Equivalence — https://doi.org/10.5281/zenodo.17891563
SymC Noughts — https://doi.org/10.5281/zenodo.17633509
Adaptive Intelligence Framework — https://doi.org/10.5281/zenodo.17565787
Intended Use. Researchers, clinicians, and control theorists exploring disease as a dynamical stability problem. Each paper stands alone; together they define a coherent biomedical control framework.
Status. This branch represents a mature and internally consistent stage of SymC biomedical theory. Future additions may include validation datasets, simulations, and adaptive control implementations. Core theory is stable.