Clinical Homeostasis: A Systems Framework Linking Ecology, Chronic Disease, and Recovery Failure

Abstract

Abstract Contemporary medicine excels at identifying molecular mechanisms and acute pathology, yet struggles to explain why many biological systems fail to recover after stress, resulting in chronic disease. This paper proposes a falsifiable, cross-scale framework in which persistent illness is understood as a failure of homeostatic regulation rather than solely as ongoing damage or unresolved insult. Drawing on established principles from ecology, physiology, and systems biology, the framework identifies stress overload, regulatory exhaustion, and impaired clearance as recurring features of recovery failure across living systems. The paper does not propose treatments, diagnostics, or clinical protocols. Instead, it establishes a conceptual grammar intended to precede and enable disease-specific research, including but not limited to chronic inflammatory conditions and oncological systems. Human–AI Teaming Intelligence (HATI) is used as a synthesis and critique tool, not as a clinical or decision-making agent.

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