Dynamic Foundations of Disease IV Biomarkers and Omics as Measures of Motion in Time

This paper reframes biomarkers and omics data as measures of biological motion rather than static indicators of disease state. Instead of asking whether a value is high or low, it focuses on how signals change over time—how fast they move, how they recover, how much they fluctuate, and whether they return, drift, or lock into new regimes. Within the Universal Resonance Model (URM), biomarkers and omics are interpreted as instruments for reading system stability, fragility, memory, plasticity, and proximity to transition. The paper develops a dynamic language for understanding trajectories—variance, delay, recovery kinetics, hysteresis, and drift—as clinically meaningful features. The aim is not to replace diagnosis or existing biomarkers, but to provide a higher-order interpretive layer that explains why patients with similar “states” can have radically different futures.