This paper applies the Universal Resonance Model (URM) to systemic sclerosis, interpreting the disease as a progressive transition into a deep pathological attractor maintained by immune, vascular, and fibrotic feedback loops. Using epidemiological data, clinical phase structure, fibrosis dynamics, and the concept of reset windows, the paper frames systemic sclerosis as a disease of declining plasticity, increasing structural memory, and growing resistance to therapeutic perturbation, with decisive importance of timing and early intervention. This paper is part of the Universal Resonance Model (URM) series, which develops a systems-dynamic framework for understanding disease as transitions between dynamic regimes characterized by resilience, feedback structure, and attractor stability.
Anita Domargård (Thu,) studied this question.