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PREDICT2
To improve treatment of ventricular arrhythmias, research is conducted on many different levels: genetics, basic and clinical electrophysiology, national registries, human samples. -
Recognizing sudden cardiac arrest vulnerability in diabetes
The RESCUED study investigates the risk of a sudden cardiac arrest in diabetes patients. The aim is to improve recognition of individuals at high risk of sudden cardiac arrest... -
Heart-Brain Connection & Heart-Brain Connection - crossroads
Cognitive impairment is common among people with cardiovascular or cerebrovascular disease. HBC1 explored the etiological role of hemodynamic factors in cognitive impairment,... -
ECG-AI
Developing AI for ECG interpretation -
Determination and Evaluation of the Frequency and Effects of myocardial...
Within DEFENCE, all large national COVID-19 studies aimed at unravelling the relationship between cardiovascular disease and COVID-19 are brought together. The main aim of... -
Outflow tract related aging with congenital heart disease. Workpackage...
Rationale: Tetralogy of Fallot is the most common type of cyanotic congenital heart disease. The main problems of this patient population are heart failure related to chronic... -
Deep neural networks for ECG interpretation and home cardiac monitoring
Development of deep neural networks for automated analysis of electrocardiograms (ECGs) and of a medical device to obtain a multi-lead device at home. Both innovations will be... -
Perfect Fit: Targeting key risk factors for cardiovascular disease in...
Smoking and insufficient physical activity are key risk factors for cardiovascular disease. Perfect Fit uses big data science techniques to develop highly personalized and...
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