Part of the Dynamic Medicine series (Part IV). Early-warning signals of instability—such as increased variance, rising autocorrelation, and reduced recovery—can reliably detect when a biological system is approaching a critical transition. The Reset Index (RI) formalizes this detection and enables identification of pre-transition states. However, detection alone is insufficient. Distinct underlying pathophysiological processes may produce similar early instability signals, particularly before trajectories have diverged. This creates a structural ambiguity: the system is identifiable as unstable, but not yet interpretable in terms of direction or mechanism. This paper introduces a conceptual extension—RI 2.0—not as a more complex metric, but as a differentiation layer integrating trajectory signals with clinical context. Meaningful interpretation requires combining mathematical detection with temporal structure, subsystem coupling, and clinical narrative (anamnesis), which acts as a symmetry-breaking mechanism. The work reframes clinical decision-making: from detecting instability to interpreting its meaning. It also highlights a key limitation in current clinical AI systems, where detection is often conflated with understanding. This is where a new paper begins. Notes Author Note — Intellectual Priority This preprint establishes conceptual priority for the distinction between detection and differentiation in early clinical instability, and for the formulation of RI 2.0 as a structured extension of the Reset Index. The work introduces the principle that early instability signals may be structurally ambiguous, with multiple underlying dynamics producing similar trajectory patterns prior to divergence. It further defines the necessity of a differentiation layer integrating signal-based detection with clinical context, including temporal evolution, subsystem interaction, and patient narrative (anamnesis). This framework positions clinical interpretation as an essential component of dynamic disease modeling, rather than a residual function after metric computation. The manuscript is released to document intellectual priority and to support further scientific dialogue. It has not yet been submitted for peer review. Version 2.0 — Minor corrections Correction of Suggested Citation and formal definition of the Reset Index (RI).No changes to the conceptual content.
Anita Domargård (Fri,) studied this question.