Dynamic Medicine — Part II From Biomarkers to System Dynamics: Why Static Measurements Fail to Capture Disease

This paper is Part II of the Dynamic Medicine series and develops a conceptual critique of biomarker-centered medicine. It argues that most clinical biomarkers represent static snapshots of inherently dynamic biological systems and therefore fail to capture early instability, disease trajectory, and timing-dependent therapeutic opportunity. Building on the Universal Resonance Model (URM), the paper introduces the concept of system markers—dynamic indicators reflecting resilience, variability, recovery, and coupling between physiological subsystems. By reframing disease as a process of system-level destabilization rather than threshold violation, the work explains why static measurements often detect disease late and why treatment responses vary widely. No new clinical data are presented. The paper is intended as a theoretical foundation for dynamic, timing-aware medicine and for future empirical work on disease progression, therapeutic timing, and system-level intervention.