A Systemic-Cybernetic Framework Applied to Complex Biological Systems

Biological health is commonly modeled as the maintenance of stable internal states or the absence of structural pathology. However, many chronic and heterogeneous conditions resist explanation under static or linear frameworks. This document proposes a systemic-cybernetic framework in which health is defined as sustained regulatory capacity under perturbation, and disease emerges from saturation-driven functional reorganization. Symptoms are treated as system outputs rather than errors, and pathology is understood as a consequence of persistent demand exceeding regulatory capacity across mismatched timescales. The framework emphasizes flow, feedback, hysteresis, and multi-scale regulation, offering falsifiable predictions and a unifying lens across biological, behavioral, and environmental domains.