GENESIS Framework R22 Series: Structural Analysis of Chronic Disease Topology — Cusp Bifurcation Classification, Existence Conditions, and Early Warning Signals for Chronic Disease Transitions

The GENESIS framework (Generalized Nonlinear System for Illness Simulation) models chronic disease as a bistable dynamical system with three coupled state variables: stress activation S, regenerative capacity R, and accumulated damage D. Building on the R20.4 reference architecture and R21.2 structural analysis (DOI: 10.5281/zenodo.18901208), the R22 series completes the structural characterization of GENESIS across four modules. R22.0 maps the full β×η (damage-sensitization × damage-regen coupling) parameter space, confirming that bistability is maintained across all 625 tested parameter combinations (100% bistable at D=0). No hidden bifurcation exists. D_func — the reversibility threshold — varies significantly with β×η: at extreme coupling (β=3, η=1), D_func halves from 0.42 to 0.20, reducing the therapeutic window for reversible intervention. R22.1 identifies e_crit ≈ 0.089 as the critical sensitization threshold: a saddle-node bifurcation point below which chronic disease is structurally impossible regardless of trigger load or damage history. The canonical parameter e=0.50 lies 5.6× above this threshold. This result requires a revision of the parameter tier hierarchy: e is reclassified as Tier-0 (Topology Generator), operationally distinct from the Tier-1 topology modulators (r0, k). Three patient phenotype regimes are defined by the combination of e_crit and D_func thresholds: monostable-healthy (e < e_crit), bistable-reversible (e > e_crit, D < D_func), and bistable-locked (e > e_crit, D > D_func). R22.2 derives the functional form e_crit(D) = T_eff / (1 + β·D), where T_eff ≈ 0.063 is the intrinsic nonlinearity threshold. The form is analytically motivated: since e_eff = e·(1+β·D) and bistability requires e_eff ≥ T_eff, the critical base sensitization decays hyperbolically with damage. Crucially, e_crit approaches zero asymptotically but never reaches it at finite D, maintaining biological plausibility (residual nonlinearity requirement). Comparison of r0 and e confirms functional analogy (both raise D_func when increased) but no formal algebraic symmetry — they operate on different nullclines and are not therapeutically interchangeable. R22.3 formally classifies GENESIS as a slow-fast Cusp Bifurcation system. The cubic coefficient −e_eff in the S-equation is always negative, establishing topological equivalence to the cusp normal form ẋ = x³ + ax + b. All characteristic cusp signatures are confirmed: S-shaped bifurcation diagram, fold curve in (e, r0) parameter space, hysteresis (Δ ≈ 0.936 in e-sweep), and critical slowing down (recovery rate correlation with e/e_crit = −0.99). The hysteresis gap formalizes clinical irreversibility: reducing sensitization to pre-illness levels is insufficient for recovery; the system requires Tier-0 modulation below the lower fold point. Early Warning Signals consistent with critical slowing down theory are identified, yielding the first empirically testable prediction of GENESIS: patients approaching chronification should show decreasing recovery speed from post-exertional events before the chronic transition occurs. GENESIS is formally connected to ecological regime-shift models (Scheffer eutrophic lake, savanna-forest, thermohaline circulation), neurobiological excitability models (FitzHugh-Nagumo class), and energy-based dynamical systems. The R22 series transforms GENESIS from an exploratory simulation framework into a structurally characterized minimal model with analytical thresholds, formal system classification, and testable empirical predictions.

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-07
DOI
https://doi.org/10.5281/zenodo.18905403
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Machine Learning in Healthcare
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article

GENESIS Framework R22 Series: Structural Analysis of Chronic Disease Topology — Cusp Bifurcation Classification, Existence Conditions, and Early Warning Signals for Chronic Disease Transitions

Dietmar Fuerste
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Healthcare
article

GENESIS Framework R22 Series: Structural Analysis of Chronic Disease Topology — Cusp Bifurcation Classification, Existence Conditions, and Early Warning Signals for Chronic Disease Transitions

Dietmar Fuerste
article en

Abstract

The GENESIS framework (Generalized Nonlinear System for Illness Simulation) models chronic disease as a bistable dynamical system with three coupled state variables: stress activation S, regenerative capacity R, and accumulated damage D. Building on the R20.4 reference architecture and R21.2 structural analysis (DOI: 10.5281/zenodo.18901208), the R22 series completes the structural characterization of GENESIS across four modules. R22.0 maps the full β×η (damage-sensitization × damage-regen coupling) parameter space, confirming that bistability is maintained across all 625 tested parameter combinations (100% bistable at D=0). No hidden bifurcation exists. D_func — the reversibility threshold — varies significantly with β×η: at extreme coupling (β=3, η=1), D_func halves from 0.42 to 0.20, reducing the therapeutic window for reversible intervention. R22.1 identifies e_crit ≈ 0.089 as the critical sensitization threshold: a saddle-node bifurcation point below which chronic disease is structurally impossible regardless of trigger load or damage history. The canonical parameter e=0.50 lies 5.6× above this threshold. This result requires a revision of the parameter tier hierarchy: e is reclassified as Tier-0 (Topology Generator), operationally distinct from the Tier-1 topology modulators (r0, k). Three patient phenotype regimes are defined by the combination of e_crit and D_func thresholds: monostable-healthy (e < e_crit), bistable-reversible (e > e_crit, D < D_func), and bistable-locked (e > e_crit, D > D_func). R22.2 derives the functional form e_crit(D) = T_eff / (1 + β·D), where T_eff ≈ 0.063 is the intrinsic nonlinearity threshold. The form is analytically motivated: since e_eff = e·(1+β·D) and bistability requires e_eff ≥ T_eff, the critical base sensitization decays hyperbolically with damage. Crucially, e_crit approaches zero asymptotically but never reaches it at finite D, maintaining biological plausibility (residual nonlinearity requirement). Comparison of r0 and e confirms functional analogy (both raise D_func when increased) but no formal algebraic symmetry — they operate on different nullclines and are not therapeutically interchangeable. R22.3 formally classifies GENESIS as a slow-fast Cusp Bifurcation system. The cubic coefficient −e_eff in the S-equation is always negative, establishing topological equivalence to the cusp normal form ẋ = x³ + ax + b. All characteristic cusp signatures are confirmed: S-shaped bifurcation diagram, fold curve in (e, r0) parameter space, hysteresis (Δ ≈ 0.936 in e-sweep), and critical slowing down (recovery rate correlation with e/e_crit = −0.99). The hysteresis gap formalizes clinical irreversibility: reducing sensitization to pre-illness levels is insufficient for recovery; the system requires Tier-0 modulation below the lower fold point. Early Warning Signals consistent with critical slowing down theory are identified, yielding the first empirically testable prediction of GENESIS: patients approaching chronification should show decreasing recovery speed from post-exertional events before the chronic transition occurs. GENESIS is formally connected to ecological regime-shift models (Scheffer eutrophic lake, savanna-forest, thermohaline circulation), neurobiological excitability models (FitzHugh-Nagumo class), and energy-based dynamical systems. The R22 series transforms GENESIS from an exploratory simulation framework into a structurally characterized minimal model with analytical thresholds, formal system classification, and testable empirical predictions.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 35%
Machine Learning in Healthcare
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