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Escardio

Data-driven approaches, such as machine learning techniques, are able to make sense of complex and heterogeneous datasets and can detect patterns that might be challenging for the human eye. A ...

Date : 05/10/2019
Escardio

For those who had not the opportunity to attend the ESC-Congress this year, it is our pleasure to let you know comment that we had an outstanding Young Investigator Award Session on Coronary ...

Date : 01/10/2019
ESC365

Long term prognosis of intramural course of coronary arteries in patients with hypertrophic cardiomyopathy assessed by coronary CT angiography

Date : 03/09/2019
ESC365

Evaluation of arrhythmias using an insertable cardiac monitor in patients with hypertrophic cardiomyopathy

Date : 03/09/2019
Date : 03/09/2019
ESC365

Utility of global longitudinal strain and left atrial volume index as risk markers of adverse cardiovascular events in hypertrophic cardiomyopathy with MYH7 mutations

Date : 03/09/2019
ESC365

Comparison of prognostic predictors of heart failure admission and progression to end-stage in hypertrophic cardiomyopathy

Date : 03/09/2019
ESC365

The prognostic and therapeutic characteristics of heart failure among elderly patients with hypertrophic cardiomyopathy

Date : 03/09/2019
ESC365

The impact of sarcomeric mutations on myocardial fibrosis and ventricular diastolic function in hypertrophic cardiomyopathy (SADS-TW HCM registry study)

Date : 03/09/2019
ESC365

Impaired myocardial deformation assessed by cardiac magnetic resonance is associated with increased arrhythmic risk in hypertrophic cardiomyopathy

Date : 03/09/2019