Harnessing industry-leading AI and translational science to decode electrical signals from the heart as never before, empowering healthcare providers to improve patient care throughout the cardiac clinical pathway
Listen to Dr. Paul Friedman, a Professor of Medicine and Chair of the Department of Cardiovascular Medicine at Mayo Clinic and Anumana advisor, discuss the potential of AI algorithms in advancing early diagnosis and intervention in cardiology.
Serious cardiovascular diseases affect millions of people worldwide, often going undiagnosed until symptoms advance and patients deteriorate. Unfortunately, these conditions can remain undiagnosed until the patient suffers a life-threatening event. Hidden and undiagnosed cardiovascular diseases can often be treated through available therapeutics and medical devices. Innovations enabling earlier diagnoses could address this unmet medical need and empower healthcare providers to intervene with beneficial treatments.
Millions of people suffer from cardiac arrhythmias, which can be a major risk of stroke and heart failure. The demand for electrophysiology (EP) procedures has been increasing rapidly but efficacy largely depends on experience and intuition, and repeat procedures are common. While large amounts of data are generated in real- time during the procedure, EP labs so far have not leveraged the power of AI interpretation. Deep-learning innovations could enable improved EP procedure accuracy and reduced procedure time, empowering providers to meet the growing demand with improved patient safety and outcomes.
Anumana leverages nference’s proprietary nSights real-world evidence generation platform, built on data from leading health systems, to combine unparalleled longitudinal structured and unstructured electronic medical record data with diagnostic and interventional ECGs and EGMs. By applying AI techniques to these electrical signals from the heart, the company has uncovered clinically critical electrical signatures and patterns unrecognizable to the human eye. The resulting software products can be integrated into routine clinical practice for earlier disease diagnosis and in-procedure decision making.
With a leading position in developing AI-enabled ECG algorithms, Anumana’s acquisition of NeuTrace in 2022 paved the way for a combined development capability in cardiac electrophysiology spanning the entire cardiac care continuum, from disease detection to in-procedure, interventional solutions.
Today, Anumana’s research is demonstrating that care teams working with AI-enabled tools can diagnose otherwise hidden conditions earlier than ever before and uncover actionable insights to potentially improve EP procedures. With clinical decision support tools, Anumana aims to help physicians identify missing treatments and avoid unnecessary interventions. Anumana is committed to bringing these software solutions to routine clinical practice with significant progress in software development and coding for reimbursement.
Innovative diagnostic tools for detecting rare and hidden disease, based on the world’s largest labeled patient dataset, built to be integrated into existing physician workflows and currently pursuing FDA approval.
Granted FDA Breakthrough Device Designation
Phase: Development
Phase: Development
Phase: Development
Phase: Development
Phase: Development
Phase: Development
Anumana also has a rich pipeline of AI / ML driven products for use in the interventional electrophysiology (EP) setting.
Phase: Authorization
FDA Clearance Not Required
Phase: Submission
Phase: Validation
Phase: Development
See Anumana’s work in the news
FIERCE Biotech: The heart-focused artificial intelligence company Anumana is looking to break new ground for its algorithms through a partnership with Pfizer. They plan to develop programs that can help diagnose cases of cardiac amyloidosis, where misfolded proteins build up around the tissue.
Dec. 16th, 2022
FIERCE Biotech: Mayo Clinic’s artificial intelligence spinout Anumana is taking a deeper dive into analyzing the pulsing electrical signals of the heart with a new acquisition aimed at developing software used during cardiac procedures.
Nov. 8th, 2022
Med City News: Novartis is partnering with algorithms startup Anumana to develop a new artificial intelligence-based solution for cardiovascular diseases. The goal is to find ways to detect heart conditions years before symptoms develop in order to enable earlier intervention.
Jul. 14th, 2022
Learn more about Anumana’s algorithms validated in 75+ peer reviewed publications.
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In just the past three years, the team has published more than two dozen studies on AI in cardiology, and it is now field-testing an algorithm to detect a weak heart pump in dozens of primary care clinics.
Stat
Dec. 18th, 2019
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