CorVista Health Appoints Charles R. Bridges as Chief Scientific Officer

Washington, DC, January 18, 2022 — CorVista Health, Inc., a digital health company dedicated to improving cardiovascular disease diagnosis, announces the appointment of Charles R. Bridges, M.D., Sc.D., as Executive Vice President and Chief Scientific Officer. In this role Charles will lead the scientific and clinical development of the CorVista System for commercialization.

“We are thrilled to have Charles join our executive team. His experience and vast clinical knowledge will be instrumental in getting our novel technology to market,” said Don Crawford, President and Chief Executive Officer, CorVista Health. “In his new role, Charles will provide strategic insight into scientific and clinical development which will be crucial as we focus on commercialization.”

Dr. Bridges was the first African American Full Professor of Surgery at the University of Pennsylvania and a member of the Bioengineering Graduate Group, Chief of Cardiac Surgery at Pennsylvania Hospital, and Professor and Chairman of the Department of Cardiothoracic and Vascular Surgery at Carolina’s HealthCare System with the University of North Carolina. Dr. Bridges received more than $10 million in continuous National Institutes of Health (NIH) RO1 funding, has over 170 peer-reviewed publications and 15 patents.

“I joined CorVista Health as I believe the CorVista System will be a revolutionary technology in aiding physicians to better diagnose cardiovascular disease,” said Dr. Bridges. “Once I learned about the CorVista System, I immediately appreciated the unique opportunity it presents to leverage my clinical, technical and leadership skills to improve the diagnosis and treatment of cardiovascular disease, the leading cause of mortality globally.”

Most recently, Dr. Bridges was Chief Technology Officer and Head of Cross Enterprise Innovation for the Cardiovascular and Pulmonary Hypertension Therapeutic Areas at Janssen Pharmaceuticals, of Johnson and Johnson, Inc (JNJ). At JNJ he served as the scientific lead on multiple cardiovascular and neurovascular device equity investments and acquisitions. He spearheaded the development of novel therapeutic and diagnostic devices and applications of advanced data sciences. In 2021, he received the JNJ, enterprise wide, Juan A. Simpson Outstanding Employee Service Award for “excellence both personally and professionally”.

Dr. Bridges received his Bachelors Degree in Engineering and Applied Physics from Harvard College magna cum laude, entering Harvard Medical School at age 18 in the Harvard-MIT Program in Health Sciences and Technology, receiving the MD degree with honors. He received a Master of Science in Electrical Engineering and Computer Science and a Doctor of Science in Chemical Engineering from the Massachusetts Institute of Technology.About CorVista® System
CorVista System is a non-invasive point-of-care solution that is intended to synchronously collect and apply machine learning to a patient’s cardiac and hemodynamic signals to predict the likelihood of cardiovascular diseases without the use of radiation, contrast agents, injections, fasting or exercise. Within minutes of the test, the CorVista® Analysis is available in a secure web portal to aid physicians in rapidly diagnosing and treating patients with suspected cardiovascular disease, answering important clinical questions to guide better treatment decisions. CorVista System is an investigational device limited by federal law to investigational use. CorVista System is not available for commercial distribution.

About CorVista® Health
CorVista Health is a subsidiary of Toronto-based Analytics For Life Inc. CorVista Health is applying machine learning using real world test data to develop a novel cardiac diagnostic platform, CorVista® System, with the aim of transforming cardiovascular care and the patient experience. For more information, visit


CorVista Health
Chris Bing Ernst
(415) 710-9445
[email protected]

SOURCE: Business Wire

CorVista provides actionable cardiac diagnostics at the point of care by applying advanced machine learning for more rapid and accurate diagnosis of cardiac disease.
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