A Methodological Language for Dynamic Phenomena in Medicine Stability, Transition, and Shared Understanding Across Disciplines

This paper develops a shared methodological language for interpreting dynamic phenomena in medicine. It focuses on stability, loss of resilience, transition, and regime change as core concepts for understanding when and how biological and clinical systems shift their mode of behavior. Rather than replacing biomedical explanation, the paper adds a dynamic interpretive layer that makes timing, fragility, and intervention windows intelligible across disciplines. The aim is to provide a common framework that allows experience to be shared between specialties and supports explanation of phenomena that do not fit linear models.