The Universal Resonance Model proposes that early warning signals may indicate a temporary intervention window to dynamically monitor and steer disease trajectories before pathological transition.
This conceptual note applies the Universal Resonance Model (URM) to disease as a dynamic process before transition. It argues that the clinical question is not only what state a patient is in, but whether the disease trajectory is still steerable before transition. Prediction alone is insufficient in complex biological systems, because disease trajectories may diverge even when baseline risk factors, biomarkers, symptoms, imaging, genetics, and treatment history are known. The note proposes that early warning signals may indicate a temporary intervention window in which the system has lost stability but has not yet locked into a new pathological state. It links chaos-theory logic, early warning signals, Lyapunov-based recovery capacity, and timed intervention into a four-layer clinical control framework. The central implication is that disease should not only be classified after it becomes visible, but monitored dynamically while it may still be unstable, plastic, and clinically steerable.
Anita Domargård (Thu,) conducted a other in Disease trajectory. Universal Resonance Model (URM) was evaluated. The Universal Resonance Model proposes that early warning signals may indicate a temporary intervention window to dynamically monitor and steer disease trajectories before pathological transition.