FDA-cleared PSWT devices
ActiPatch® and RecoveryRx® are commercial devices for their labeled pain uses. This is the current product foundation.
Current productsElectrome connects scientific evidence, AI-assisted research, signal modeling, protocol design, controlled experiments, statistical validation, and documentation in one human-led learning loop.
Conceptual research workflow. AI supports the work; scientists own the decisions.
Pain is Electrome's first commercial focus. FDA-cleared devices establish a real operating foundation while Discovery R&D investigates what bioelectric medicine could become.
ActiPatch® and RecoveryRx® are commercial devices for their labeled pain uses. This is the current product foundation.
Current productsOperating internal AI-native R&D software for evidence, candidate ranking, modeling, controlled laboratory experiments, replication, publication, and documentation, all under a human scientific release gate.
Explore the scienceScientists set a bounded biological question, success criteria, and interpretation limits.
Specialized research agents search and organize public scientific evidence for review.
Evidence is grounded to sources, compared for quality, and ranked without replacing scientific judgment.
Agents work adaptively in parallel and sequence to propose, compare, and challenge candidate explanations.
Mathematical and statistical models help scientists explore candidate signal-response relationships.
Scientists translate selected candidates into reproducible laboratory protocols and review gates.
Defined signals are delivered in controlled wet-lab studies; instruments record experimental observations.
Researchers apply statistical checks, replication, negative controls, and human interpretation.
Results that clear scientific review can advance to peer review, publication, and regulatory documentation.
The roadmap links validated evidence back into improved models and future programmable delivery research.
MATRIX Discovery supports research under human scientific oversight and is not an autonomous scientist. It does not diagnose, monitor, or treat a person.
AI-assisted tools help search, extract, compare, and rank scientific evidence while preserving links to source material.
Specialized AI tools can support parallel and sequential research tasks as scientists direct the workflow.
Mathematical and statistical models help scientists compare candidate signal-response relationships before experiments.
Scientists define the question, inspect assumptions, operate experiments, interpret findings, and decide what advances.
A platform-selected candidate produced a measurable, replicated in-vitro result on the first day of experiments; peer-reviewed publication followed approximately six months after the initial laboratory work.
This preclinical in-vitro result does not establish a Lyme disease treatment, cure, clinical efficacy, or use in people. No Electrome product is cleared or marketed for Lyme disease or any infectious condition.
Erik A. Nilsen, Heather Adkison, John R. Martinez, Nevena Zubcevik, and Monica E. Embers
Division of Immunology at the Tulane National Biomedical Research Center, Tulane University
MATRIX Discovery is internal R&D software supporting therapeutic research. GrowthOS is Electrome's separate internal, human-governed commercialization and operating infrastructure. It coordinates company work; it is not a patient-care or scientific decision-making system.