Personalized Computational Heart Models to Predict Sudden Death Risk in Hypertrophic Cardiomyopathy

Personalized Computational Heart Models to Predict Sudden Death Risk in Hypertrophic Cardiomyopathy Guest: Ryan O'Hara, Ph.D. Hosts: Anthony H. Kashou, M.D. (@anthonykashoumd) Joining us today to discuss Personalized Computational Heart Models to Predict Sudden Death Risk in Hypertrophic Cardiomyopathy is Ryan O'Hara, Ph.D., candidate in biomedical engineer at Johns Hopkins University in Baltimore Maryland. His current research focuses on the electrophysiology of both ischemic and non-ischemic cardiomyopathies. In this episode, we will look at hypertrophic cardiomyopathy in further detail, as well as how personalized computational heart models can be used to improve risk stratification of these patients. Specific topics discussed: What is hypertrophic cardiomyopathy (HCM) and how does it affect the heart? What are the risks? How is sudden cardiac death risk clinically stratified in patients with HCM? What is the typical treatment? What is a computational, or virtual, heart and how can it be used clinically? What benefit do virtual hearts reconstructed with T1 imaging add to improve patient risk stratification in HCM? eLife paper Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices. Facebook: MayoCVservices LinkedIn: Mayo Clinic Cardiovascular Services NEW Cardiovascular Education App:The Mayo Clinic Cardiovascular CME App is an innovative educational platform that features cardiology-focused continuing medical education wherever and whenever you need it. Use this app to access other free content and browse upcoming courses. Download it for free in Apple or Google stores today! No CME credit offered for this episode. Podcast episode transcript found here.