“Cardiovascular disease is a widespread and multifactorial disease and, in order to mitigate its impact, we must look beyond therapeutic innovation and reimagine how we approach cardiovascular care,” said Victor Bulto, President, Novartis Innovative Medicines US. "Novartis is proud to collaborate with Anumana on innovative and data-driven solutions to better predict the risk of life-threatening heart disease, further driving forward our commitment to improving patient experiences and population health outcomes in this patient population.”
The Mayo Clinic Cardiology team, led by Dr. Friedman, pioneered the application of AI in cardiology and developed several algorithms based on millions of ECGs, including a low ejection fraction algorithm that received FDA Breakthrough Device Designation in 2019 and Emergency Use Authorization for COVID-19 in 2020. Further validating the technology, a recent study presented by Mayo Clinic used a modified version of Anumana’s 12-lead ECG algorithm to detect left ventricular dysfunction with single-lead ECGs in smartwatches. These algorithms are licensed to Anumana for development of clinical solutions and have been validated by over 30 peer-reviewed publications, including a first of its kind prospective clinical impact study on low ventricular ejection fraction that was published in Nature Medicine in 2021. These software solutions are currently in development with each algorithm as a candidate for marketing authorization through an FDA DeNovo request.
Anumana, an AI-driven health technology company and a portfolio company of nference and Mayo Clinic Platform, is harnessing industry-leading AI and translational science to decode the electrocardiogram as never before – as a deep predictive tool and biomarker of disease – empowering care providers to help patients early. Anumana algorithms have been developed, trained, and validated using clinical data from Mayo Clinic and are undergoing rigorous clinical trial validation. Anumana is developing AI-enabled ECG algorithms for real-world physician use, integrating point-of-care applications into existing workflows, thereby reducing costs and enhancing quality of life. Anumana’s AI-enabled tools can diagnose hidden conditions earlier than ever before. Anumana’s algorithms are investigational medical devices and have not yet received regulatory approval or clearance. Back to HCB News