STOE Bio Briefing: Phase 1 Draft

This draft introduces Unified Entropic Biology, a pioneering framework that integrates the Signal-to-Entropy (STOE) V12 model with AI-driven modeling and neuroimaging for entropy-based diagnostics. By bridging quantum physics, artificial intelligence, and biological complexity, this work establishes a novel paradigm for understanding biological systems through entropy dynamics. The STOE V12 model maps fundamental relationships (Signal ↔ Photon, Lesion ↔ Entropy), while the AUTO DZ ACT pipeline leverages AI to predict entropy signatures and validate them against MRI data. This briefing outlines the methodology, empirical design, and outreach strategy targeting platforms like Nature Physics, NeuroAI, and arXiv/medRxiv, setting the stage for STOE V∞ and future interdisciplinary breakthroughs.