November 22, 2023 — Heart Test Laboratories, Inc. d/b/a HeartSciences, an artificial intelligence (AI)-powered medical technology company focused on transforming ECGs/EKGs to save lives through earlier detection of heart disease, today announced the closing of its license agreements with the Icahn School of Medicine at Mount Sinai (Icahn Mount Sinai), in New York, NY, to develop and commercialize electrocardiographic AI algorithms and assets. The licenses result in Icahn Mount Sinai becoming a shareholder in the Company.
Andrew Simpson, Chief Executive Officer of HeartSciences, said, "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. Combined with the recent 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," said Andrew Simpson, CEO of HeartSciences. “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.”
Erik Lium, PhD, the Chief Commercial Innovation Officer at the Mount Sinai Health System and President of Mount Sinai Innovation Partners, said, "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."
The licenses from Icahn Mount Sinai grant rights to multiple patented and unpatented AI-based ECG/EKG algorithms and technologies for the screening and diagnosis of cardiovascular disease. The licenses provide HeartSciences with an industry leading library of AI-based ECG algorithms. HeartSciences intends to deliver these algorithms using a cloud-based, hardware agnostic platform, allowing HeartSciences to accept ECGs from millions of existing ECG devices around the world, 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, MD, 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, MD, Instructor in the Division of Data-Driven and Digital Medicine (D3M) at Icahn Mount Sinai; Joshua Lampert, MD, Medical Director of Machine Learning for Mount Sinai Fuster Heart Hospital; Vivek Reddy, MD, 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, MD, 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.
For more information: https://www.heartsciences.com