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Licenses grant rights to multiple patented, unpatented AI-based ECG/EKG algorithms and tech for screening and diagnosing cardiovascular disease.
February 15, 2024
By: Michael Barbella
Managing Editor
Heart Test Laboratories Inc. (d.b.a. as HeartSciences) has closed license agreements with the Icahn School of Medicine at Mount Sinai (Icahn Mount Sinai) to develop and commercialize electrocardiographic artificial intelligence (AI) algorithms and assets. The licenses result in Icahn Mount Sinai becoming a company shareholder. “We look forward to working with HeartSciences, a company that aims to bring new AI-powered ECG capabilities to market in an effort to enable the early detection of heart disease and, ultimately, improve the lives of patients,” said Erik Lium, Ph.D., chief commercial Innovation officer at Mount Sinai Health System and president of Mount Sinai Innovation Partners. The Icahn Mount Sinai licenses grant rights to multiple patented and unpatented AI-based ECG/EKG algorithms and technologies for screening and diagnosing cardiovascular disease. The licenses provide HeartSciences with a library of AI-based ECG algorithms. HeartSciences will deliver these algorithms using a cloud-based, hardware agnostic platform, allowing HeartSciences to accept ECGs from millions of existing ECG devices worldwide, including its MyoVista device. The algorithms were developed using a database of millions of ECG records, enabling researchers to develop a range of AI-based ECG algorithms using state-of-the art data science methods. The AI cardiovascular algorithms are based on technology developed by Icahn Mount Sinai faculty and licensed by Mount Sinai to HeartSciences. Mount Sinai and Icahn Mount Sinai faculty, including Girish Nadkarni, M.D., Irene and Dr. Arthur M. Fishberg Professor of Medicine at Icahn Mount Sinai, system chief of the Division of Data-Driven and Digital Medicine (D3M), co-director of the Mount Sinai Clinical Intelligence Center (MSCIC), and co-director of The Charles Bronfman Institute for Personalized Medicine; Akhil Vaid, M.D., instructor in the Division of Data-Driven and Digital Medicine (D3M) at Icahn Mount Sinai; Joshua Lampert, M.D., medical director of Machine Learning for Mount Sinai Fuster Heart Hospital; Vivek Reddy, M.D., director of Cardiac Arrhythmia Services for The Mount Sinai Hospital and The Leona M. and Harry B. Helmsley Charitable Trust Professor of Medicine in Cardiac Electrophysiology at Icahn Mount Sinai; and Son Duong, M.D., assistant professor of Pediatrics (Pediatric Cardiology) at Icahn Mount Sinai, have a financial interest in this technology and in HeartSciences. The financial interest of Mount Sinai faculty is pursuant to the Mount Sinai Intellectual Property Policy. “We continue to advance initiatives that fundamentally transform and de-risk HeartSciences. The closing of our licenses with Icahn Mount Sinai now propels us forward with our cardiovascular disease AI-ECG development programs,” HeartSciences CEO Andrew Simpson stated. “Combined with the creation of a new FDA product classification for AI-ECG algorithms that we believe paves the way for a more structured and quicker 510(k) process of our technologies, we have clear focus on our target milestones. We believe AI-based ECG algorithms close the diagnostic gap to detect heart disease much earlier and at a lower cost and we look forward to accelerating commercialization and broadening the range of prospective solutions that we will provide.” HeartSciences is a medical technology company focused on applying AI-based technology to an ECG (also known as an EKG) to expand and improve an ECG’s clinical usefulness. Millions of ECGs are performed every week and the company’s objective is to improve healthcare by making an ECG a far more valuable cardiac screening tool, particularly in frontline or point-of-care clinical settings. HeartSciences’ first product candidate for U.S. Food and Drug Administration clearance, the MyoVista wavECG, or the MyoVista, is a resting 12-lead ECG that is also designed to provide diagnostic information related to cardiac dysfunction that has traditionally only been available through cardiac imaging. The MyoVista also provides conventional ECG information in the same test. The business model, which involves the use of the MyoVista Device and consumables for each test, is expected to be “razor-razorblade” as the electrodes used with the MyoVista are proprietary to HeartSciences, and new electrodes are required for every test performed.
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