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Utilizing machine learning to predict cardiac transplantation in women with peripartum cardiomyopathy on mechanical circulatory support devices

29 June 2021 (00:00 - 00:00)
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Congress Presentation Part of: Risk Factors and Prevention, Rehabilitation and Sports Cardiology, Cardiovascular Disease in Special Populations Pregnancy and Cardiovascular Disease HFA Premium Access Heart Failure 2021

About the speaker

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Doctor Mohamed Gad

Baylor College of Medicine, Houston (United States of America)

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Multi-marker biomarker panel, adverse cardiovascular and kidney outcomes, and response to canagliflozin in the CANVAS Program
Doctor M. Vaduganathan (Boston, US)
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Diabetes and myocardial fibrosis: a systematic review and meta-analysis
Doctor D. Salvador (Bern, CH)
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Predictors of change in peak oxygen consumption following exercise training in heart failure with preserved ejection fraction
Mr S. Mueller Stegner (Munich, DE)
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ERBB4 and multiple microRNAs that target ERBB4 participate in pregnancy-related cardiomyopathy
Miss E. Feyen (Antwerp, BE)
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Resting heart rate in long term survivors of hodgkin lymphoma: a potential marker subclinical left ventricular dysfunction
Doctor J. Heemelaar (Leiderdorp, NL)
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Access the full session

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Risk Factors and Prevention, Rehabilitation and Sports Cardiology, Cardiovascular Disease in Special Populations

The Event

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Heart Failure 2021

29 June - 1 July 2021

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources