EternaCell Plus interprets multi-modal biosignals (electrophysiology, metabolic rhythms, HRV proxies) to synthesize adaptive cellular optimization in real time. A multi-agent synthetic AI learns personal dynamics and orchestrates coherence across mitochondrial efficiency, autophagy cadence, and stress-response harmonics.
The line stream visualizes synthetic AI–modulated coherence (0–100). The engine fuses sliders + stochastic micro-perturbations + adaptive gain.
Streams HRV proxies, GSR, EMG micro-tones, and metabolic rhythms. Edge-noise suppression ensures robust features for modeling.
Multi-agent synthetic learners emulate cell-to-cell crosstalk, inferring intervention response curves across cohorts.
Quantum-inspired harmonics (Ethryx-style coherence) guide adaptive resonance for mitochondrial efficiency and stress cycling.
Closed-loop tuning updates micro-parameters per individual, elevating resilience under shifting noise and lifestyle variables.