NeuTrace

NeuTrace developed solutions for the Cardiac Electrophysiology (EP) community to advance the research, diagnosis, and treatment of patients with abnormal heart rhythms. The company's core technology, the NeuTrace EP Data Biome, is a device-agnostic platform that uses proprietary AI and machine learning engines for in-procedure data integration and real-time AI applications. This system is designed to improve the accuracy, speed, and safety of cardiac electrophysiology procedures.

The company was founded by Dr. K. Shivkumar, Director of UCLA's Cardiac Arrhythmia Center, along with his colleagues, and guided by the business vision of Raghu Mendu and NC Murthy. In November 2022, NeuTrace was acquired by Anumana, a health technology company spun out of the Mayo Clinic and a portfolio company of nference. The acquisition included NeuTrace's EP Data Biome platform and its portfolio of AI-enabled software applications. As part of the deal, nference gained the rights to use the Data Biome platform for applications outside of the cardiovascular field. The strategic acquisition positions Anumana to integrate NeuTrace's in-procedure technology with its own capabilities, which involve analyzing ECG waveforms and patient electronic medical records (EMR). This combination aims to create a comprehensive platform for AI-driven cardiac care, from early detection to treatment.

The platform's goal is to leverage untapped data from cardiology procedures through machine learning, pairing intraprocedural data with ECGs and full medical records to offer patient-tailored recommendations. By combining EMR data with ECG and in-heart cardiac electrogram (EGM) signals, the technology seeks to unlock new diagnostic and pre-diagnostic algorithms. The software is currently under development.

Keywords: cardiac electrophysiology, AI in cardiology, medical software, arrhythmia treatment, electrogram analysis, ECG-AI diagnostics, real-time procedural guidance, cardiovascular data integration, medical device software, heart rhythm analysis, cardiac data science, machine learning in medicine, EMR integration, cardiac procedure safety, electrophysiology data, Anumana, nference, Dr. K. Shivkumar, Raghu Mendu, NC Murthy, cardiac arrhythmia, precision medicine, healthtech