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BioSig Advances Collaboration on Machine Learning and Artificial Intelligence Solutions for Healthcare

BioSig Technologies a medical technology company delivering unprecedented accuracy and precision to intracardiac signal visualization announced that it is advancing the research and development of an artificial intelligence (AI) medical device platform in collaboration with technical advisory partner Reified Labs.

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The platform’s foundational machine learning model is anticipated to be based on integrated healthcare datasets, beginning with ECG and IECG data acquired by BioSig’s first product, the PURE EP™ Platform. Electrophysiology-focused technological solutions developed under the terms of the collaboration may be integrated into PURE EP™ technology for potential commercial application.

Cambridge, Massachusetts-based Reified Labs, a provider of advanced artificial intelligence-focused technical advisory services to the life sciences industry, is led by Harvard- and MIT-trained Dr. Alexander D. Wissner-Gross, an award-winning computer scientist, physicist, entrepreneur, and author. BioSig’s prior collaboration with Reified, established in 2019, has yielded multiple patent applications1 and a research publication2 on initial discoveries in AI-enhanced electrocardiogram lead placement mapping.

On June 20, 2023, Dr. Wissner-Gross delivered a keynote address at a prominent gathering of clinical leaders in Rochester, Minnesota, exploring the exciting possibilities that artificial intelligence brings to healthcare. In his speech, entitled “Unsupervised Medicine: The Next Wave of AI in Healthcare,” Dr. Wissner-Gross reviewed recent research advances in unsupervised (or self-supervised) machine learning models. Such models appear to have dramatically accelerated overall progress toward artificial general intelligence (AGI), with one community forecast of the expected arrival date of AGI collapsing from 2043 to 2026 in the past two years alone. In describing AGI and how its applications can be accelerated in healthcare, Dr. Wissner-Gross used Reified’s prior collaboration with BioSig as a case study.

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“The cutting-edge work this collaboration started in early 2019 to lay a foundation in AI was ahead of the curve, and our initial findings may have several potentially valuable clinical applications worthy of further exploration,” commented Kenneth L. Londoner, Chairman and CEO of BioSig Technologies, Inc.

“The application of AGI and digital signal processing to analyzing signals from the so-called human ‘electrome’ – the set of all electrical and ionic currents in the human body – continues to present a promising opportunity for realizing key medical advances relating to disorders of the peripheral nervous system,” said Dr. Wissner-Gross. “We look forward to our forthcoming collaboration with BioSig.”

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