Description This conceptual note maps how current rheumatology research is already moving toward dynamical analysis through trajectory measurement, time-to-event modeling, change-point detection, longitudinal machine learning, and digital monitoring. The note argues that many existing methods in immune-mediated rheumatic diseases already capture temporal structure, system history, and pre-event change, even when they are not explicitly framed in dynamical systems terminology. Within the Universal Resonance Model (URM) framework, the paper interprets these developments as evidence of a broader shift from static snapshot-based assessment toward trajectory-based disease understanding. The work is conceptual and methodological. It does not introduce new clinical data and is not intended as a clinical recommendation.
Anita Domargård (Thu,) studied this question.