Bioelectric State-Vector Dynamics in Regenerative Systems: A Physics-First Framework for Tissue Control
Abstract
We present a biophysical control framework for directing tissue regeneration outcomes through the manipulation of high-dimensional bioelectric state vectors. Unlike pharmacological approaches that target specific molecular pathways, this method treats the tissue system as a dynamical system moving on an epigenetic landscape. We define a 10-dimensional Morphogenetic State Vector ($S_M$), comprising measurable variables such as membrane potential coherence ($\Phi_m$) and DC conductivity. Using a custom cybernetic bioreactor (the NanoCERN Instrument), we demonstrate that applying frequency-selective electromagnetic perturbations can induce a topological phase transition from a stable "Fibrotic Attractor" (low coherence, high entropy) to a "Regenerative Attractor" (high coherence, low entropy). Experimental characterization confirms a critical order parameter $\Phi_m^* \approx 1.5$ and a causal entrainment lag of $\tau \approx 6.2$s, validating that macroscopic field dynamics can drive microscopic structural reorganization. This framework offers a rigorous, physics-based pathway for non-invasive regenerative medicine.
Fields of Study & Subjects
Tissue Engineering and Regenerative Medicine
Biofield Effects and Biophysics
Planarian Biology and Electrostimulation
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026