(Draft) Multi-Modal Biological Information Processing: A Unified Framework *(No Wet-Lab needed)

(DRAFT)Biological systems exhibit information processing capabilities that surpass current artificial systems, integrating bioelectricity, quantum biology, biophysics, crystalline order, and vibrational dynamics into a unified architecture. This work presents a multi-modal biological information processing framework that bridges systems biology, morphogenesis, materials science, and bioelectromagnetics. We propose that living systems operate as naturally evolved quantum–classical computing networks, where bioelectric signaling integrates and amplifies quantum-level processes across multiple temporal and spatial scales. This model, grounded in established physics, distinguishes itself from earlier morphic field concepts by providing quantitative predictions and experimental protocols. Methodological foundations include salt-based preparation techniques for dielectric spectroscopy and electromagnetic exposure studies, enabling direct investigation of field effects on biological phase stability. Our results indicate that biological information processing is governed by coherence-driven, mathematically describable mechanisms that can be experimentally validated, modeled computationally, and potentially applied in oncology, specifically for bioelectric coherence restoration in cancer. By uniting theoretical, experimental, and translational perspectives, this framework opens new pathways for cancer biology, biofield science, and quantum-informed medical technologies. This is a draft *(Visuals & diagrams will be Updated in the coming Weeks)