The Universal Resonance Model would fail under biological conditions characterized by purely monotonic linear accumulation, compartmental isolation, deterministic time-locked execution, absence of early-warning dynamics, lack of cross-domain coupling, and fully symmetric reversibility.
This paper defines explicit falsification criteria for the Universal Resonance Model (URM), a systems-dynamic framework proposing that disease emergence reflects instability propagation, cross-system coupling, and nonlinear regime transitions. Rather than defending the model, this work specifies the biological conditions under which URM would lose explanatory necessity — including purely monotonic accumulation without instability, absence of cross-domain coupling, deterministic time-locked progression, lack of early-warning signatures, and fully symmetric reversibility. The paper clarifies the distinction between trajectory position markers (e.g., cumulative biomarker burden) and instability markers (e.g., variance amplification, autocorrelation shift, recovery slowing), and positions recent long-horizon biomarker prediction studies as boundary cases for dynamic transition models. The central claim is testable: longitudinal measurement must distinguish cumulative burden from dynamic fragility. This work contributes to methodological rigor in systems medicine by defining where the Universal Resonance Model applies — and where it would fail.
Anita Domargård (2026) studied Multiple diseases across autoimmune, neurologic, autonomic, metabolic, and systemic domains. The Universal Resonance Model would fail under biological conditions characterized by purely monotonic linear accumulation, compartmental isolation, deterministic time-locked execution, absence of early-warning dynamics, lack of cross-domain coupling, and fully symmetric reversibility.