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 ...
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 ...
Long term prognosis of intramural course of coronary arteries in patients with hypertrophic cardiomyopathy assessed by coronary CT angiography
Evaluation of arrhythmias using an insertable cardiac monitor in patients with hypertrophic cardiomyopathy
Abnormal mitochondrial calcium handling in hypertrophic cardiomyopathy:
Utility of global longitudinal strain and left atrial volume index as risk markers of adverse cardiovascular events in hypertrophic cardiomyopathy with MYH7 mutations
Comparison of prognostic predictors of heart failure admission and progression to end-stage in hypertrophic cardiomyopathy
The prognostic and therapeutic characteristics of heart failure among elderly patients with hypertrophic cardiomyopathy
The impact of sarcomeric mutations on myocardial fibrosis and ventricular diastolic function in hypertrophic cardiomyopathy (SADS-TW HCM registry study)
Impaired myocardial deformation assessed by cardiac magnetic resonance is associated with increased arrhythmic risk in hypertrophic cardiomyopathy