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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... -
Inflammatory Reprogramming by Ageing and Microbiome - Targets for Treatment...
IN-CONTROL II will seek to i. unravel the mechanisms driving 'trained immunity" in patients, taking into account the impact of senescence, age, gender and obesity, ii. elucidate... -
DEFENCE: Determination and Evaluation of the Frequency and Effects of...
With our project we strive to maximally utilize existing data and registries. However, new data needs to be collected, primarily due to three reasons: (1) routine clinical care... -
CAPACITY-COVID
CAPACITY is a registry of patients with COVID-19 across Europe and has been established to answer questions on the role of cardiovascular disease in this pandemic. It is an... -
Continuous monitoring of short-term variability of repolarization for...
We propose a new treatment methodology that 1) is able to predict an upcoming ventricular tachy-arrhythmic event and 2) can initiate a preventive intervention. This methodology... -
RADAR: Earlier Recognition of Aortic Dissection and Aneurysm Rupture: The RADAR Study
Aortic aneurysm is a life-threatening condition. When undetected, an aneurysm can grow and evolve into dissection or rupture. This RADAR-consortium will develop methods to... -
ECG-AI
Developing AI for ECG interpretation -
SUstainable PREvention of cardioMEtabolic risk through NUDGing hEalth behaviors
Een gezonde leefstijl - een gezond voedingspatroon en voldoende bewegen - draagt in belangrijke mate bij aan de preventie van chronische ziekten. Mensen met lage sociaal-... -
PREDICT2
To improve treatment of ventricular arrhythmias, research is conducted on many different levels: genetics, basic and clinical electrophysiology, national registries, human samples. -
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... -
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... -
The efficacy of aspirin to inhibit platelet aggregation in patients...
We investigated whether hyperaggregation occurs during infection, and whether aspirin inhibits this. Patients hospitalised due to acute infection were randomised to receive 10... -
CVON ARGUS
CCTA and adenosine CMR imaging of women and men with chest pain symptoms -
Early detection of disease in cardiomyopathy mutation carriers
A campaign to inform the general public and online tools to evaluate indications for cardiogenetic referral will be launched. The yield of novel methods to reach out to family... -
ENERGISE, Targeting energy metabolism to combat cardiovascular disease
this is not one project but a collection of cohort studies, human experimental words and much more -
DETERMINANTS OF SUSCEPTIBILITY IN INHERITED CARDIOMYOPATHY: TOWARDS NOVEL...
Inherited cardiomyopathies (CM) are clinically heterogeneous: age of onset and disease-severity differ greatly between patients with the exact same gene mutation. The mechanisms... -
DETECTIN-HF
Dilated cardiomyopathy is a major cause of heart failure and is the main indication of cardiac transplantation. About 30-50% of the cases can be explained by genetic... -
Atrial Fibrillation Fingerprinting
Atrial fibrillation (AF) is the most common age-related cardiac rhythm disorder accounting for about one-third of rhythm abnormalities related hospitalizations with annual costs... -
MyDigiTwin: Using Big-Data to put a cardiovascular digital twin into the...
The MyDigiTwin consortium will build the MyDigiTwin platform on top of the Personal health record depositories (Dutch: Persoonlijke Gezondheidsomgeving; PGO), enabling users to... -
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...