Bioelectric Pattern Decoders

AI models that interpret the voltage states of cell clusters to predict and control morphological outcomes.

Machine learning systems trained to read the 'electrome'—the spatial distribution of cellular resting potentials. These decoders identify the bioelectric signatures that precede tumor formation or organ development, allowing for early correction of defect states and the precise design of stimulation protocols for regenerative therapies.