AbstractWe introduce a conceptual framework for analyzing stability and transition dynamics in biological systems, termed the Ruin Horizon Framework (RHF). The model focuses on identifying a coping equilibrium—a dynamic balance between system stressors and adaptive capacity—and estimating proximity to critical instability transitions. Without disclosing implementation-specific details, we outline how such a framework may enable earlier detection of regime shifts and support decision-making in clinical and biotechnological contexts. Retrospective analyses suggest strong predictive signal structures when nonlinear interactions are considered.