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Technology Of Protein delivery through Extracellular Vesicles to target PCSK9
High total cholesterol levels are a major cause of disease burden in both the developed and developing world as a risk factor for ischemic heart disease and stroke. Lowering... -
Outflow tract related aging with congenital heart defects: identifying...
DCVA sample collection Outflow tract related aging with congenital heart defects: identifying causes and mechanisms of myocardial and large vessel wall adaptation, predictors... -
ESCAPE-HF
large small molecule screen to identify compounds that enhance 5-oxoprolinase activity. -
Improved Prognosis of Vascular cognitive impairment using automatic...
To optimally use brain imaging data in vascular cognitive impairment (VCI), the ImProVas project (i) develops and validates methods for automatic quantification of microbleeds... -
Automatic CTA Image Analysis to Support Treatment Selection in Acute Stroke
Proper treatment selection in the acute phase of ischemic stroke can considerably improve patient outcome, as shown by recent studies. In the setting of acute stroke, treatment... -
Lifestyle Innovations Based on youth's Knowledge and Experience
In the five year LIKE programme (2017-2022), we develop, implement and evaluate an integrated action programme at the level of family, school, neighbourhood, health care and... -
COroNary Calcium scoring as fiRst-linE Test to dEtect and exclude coronary...
CONCRETE aims to evaluate whether GP access to CT calcium scoring leads to earlier CAD diagnosis and treatment. The design is a pragmatic cluster randomized trial in which... -
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... -
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... -
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-... -
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... -
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... -
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... -
DOMESTICO prospectief
DOMESTICO or the Dutch nOcturnal and hoME dialysis Study To Improve Clinical Outcomes is a nationwide, combined retrospective and prospective, observational cohort study that... -
CVON-AI - Catalysing the application of Artificial Intelligence for...
CVON-AI, is a consortium involving 12 partners, established with the support of 5 previously established CVON consortia, all working with big-data. The project will build a... -
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... -
Comprehensive, High definition Accelerated Non-invasive Cardiac MRI for...
This project is focused on developing new MRI hardware and software for improved phenotyping of patients with HFpEF
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