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Self TRAcking for Prevention and diagnosis of heart disease
We investigate diagnostic technologies to reduce cardiovascular disease. We use questionnaires, serious gaming, electrocardiography, digital stethoscopes and other eHealth... -
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... -
GENIUS II
We have from the atheroexpress biobank (UMCU) cell isolates from atherectomy samples and blood cells -
GeranylGeranylAcetone in Heart failure with preserved ejection fraction
In this phase 2 trial, we expect to obtain proof of concept for a beneficial effect of GGA on HFpEF. In HFpEF patients we will evaluate effects of GGA on signs and symptoms of... -
PREDICT2
To improve treatment of ventricular arrhythmias, research is conducted on many different levels: genetics, basic and clinical electrophysiology, national registries, human samples. -
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,... -
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... -
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... -
Colchicin in patients with chronic coronary disease
Double blind randomised clinical trial with colchicin/ placebo in patients with chronic coronary disease. 5552 Pts in Netherlands and Australia -
Coronary ARtery disease: Risk estimations and Interventions for prevention...
CARRIER proposes a big data-driven approach to detection and prevention of coronary artery disease. Models learnt from big data will help identify patients at increased risk and... -
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... -
Video monitoring FOR early Signaling of adverse EvEnts
This project explores continuous video monitoring of the cardiorespiratory status of a patient as an innovative unobtrusive method that could aid to reduce workload for the... -
IMPRESS
This project aims at investigating if the mechanism of trained immunity plays a role in the development of atherosclerosis in women with former preeclampsia. -
CAPACITY 2: A prospective cohort study evaluating the occurrence of short...
For this reason, there is an urgent need for large prospective cohort studies in which patients with laboratory confirmed COVID-19 unselectively undergo standardized and long-... -
Digoxin Evaluation in Chronic heart failure: Investigational Study In...
Investigation whether low-level, aiming for serum concentrations 0.5-0.9ng/mL, digoxin on top of standard treatment (guideline-recommended therapy), is beneficial in HF patients... -
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... -
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... -
UNRAVELLING AETIOLOGY AND RISK FACTORS IN PATIENTS WITH A BICUSPID AORTIC VALVES
The bicuspid aortic valve is generally considered to be a result of a congenital fusion of two out of three leaflets. We found that the non-coronary leaflet develops from the...
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