Key result
The Universal Resonance Model mathematically defines disease as dynamical instability and coupling across physiological subsystems.
Why the study?
To provide a mathematical kernel for the Universal Resonance Model, establishing a renderer-independent specification to enable reproducible implementation across clinical research, computational modelling, and AI-based decision support.
This theoretical paper establishes a mathematical framework for modeling chronic disease as a dynamical system of interacting physiological subsystems.
Requires prospective validation before clinical use; leaves open dynamical modeling of subsystem instability for cardiovascular research.
This paper defines the mathematical kernel of the Universal Resonance Model (URM), a dynamical systems framework that conceptualizes disease as instability, coupling, and transition across interacting physiological subsystems. The kernel provides a renderer-independent, text-first specification of core state variables, operators, and stability conditions, enabling reproducible implementation across clinical research, computational modelling, and AI-based decision support. This document serves as the formal reference layer for applied URM work, including clinical metrics, geometric templates, and AI integration frameworks, while intentionally separating theory from implementation.
No takes yet. Share an insight, caveat, or question.
Anita Domargård (2026) studied Chronic disease and oscillatory multi-system conditions. Universal Resonance Model (URM) was evaluated. The Universal Resonance Model (URM) establishes a mathematical framework defining disease as a dynamical phenomenon governed by instability, coupling, and timing across physiological subsystems.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: