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

By ACA | November 15, 2022

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?

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