Unified Harmonic Health: A Phase-Coherence and Entropy-Based Framework for Predictive Diagnostics and Therapeutic Feedback

We present the Unified Harmonic Health (UFH) framework — a cross-disciplinary, entropy-driven, phase-coherent diagnostic and therapeutic model for systemic dysfunction across organ, cognitive, and behavioral domains. UFH treats physiological systems as interlinked oscillators whose deviations in coherence and entropy forecast subclinical pathology. Using real-time divergence scoring, multimodal signal harmonics, and predictive AI, UFH enables preemptive detection and adaptive feedback spanning pharmacological, neurostimulative, behavioral, and environmental interventions. Demonstrated across domains including sepsis, endocrine misalignment, cognitive burnout, and long COVID, UFH marks a paradigm shift from threshold-based medicine to dynamic, precision harmonics. This work unifies theory, hardware, and clinical logic into a scalable, Nobel-trajectory platform for healthcare transformation. Patent Notice:This work is the subject of a pending patent application: India Patent Application No. 202521077477, filed on 14.08.2025. The Unified Harmonic Health framework described herein is protected under applicable intellectual property laws. Publication on Zenodo is intended for academic dissemination and does not constitute a waiver of rights.