This work presents Structural Medicine v1.4, a minimal and unified framework for describing control, optimization, and irreversible transitions in lifespan dynamics. Rather than modeling diseases as independent entities, this framework interprets biological, cognitive, and artificial systems as trajectories in a shared structural state space defined by three variables:- Structural persistence F(t)- Connectivity Γ(t)- Structural density C(t) The core contribution is a shift from descriptive interpretation to controllable and testable structural dynamics. Key results:- Structural lifespan can be extended through time-localized intervention (Fig11)- A deterministic singularity boundary separates recoverable and irreversible regimes (Fig12)- Structural variables evolve through coupled nonlinear dynamics (Fig13)- Intervention exhibits a bounded optimum rather than monotonic improvement (Fig14)- Irreversibility becomes probabilistic under structural fluctuations (Fig15)- System evolution can be represented as trajectories in a unified state space (Fig16)- Distinct diseases correspond to divergent trajectories of the same underlying dynamics (Fig17) This framework establishes a directly testable and computationally reproducible approach to understanding emergence, stability, collapse, and disease progression within a single structural formalism. All figures are fully reproducible using the provided Python script.
Koji Okino (2026) studied this question.