27 datasets gevonden

This project is focused on developing new MRI hardware and software for improved phenotyping of patients with HFpEF

large small molecule screen to identify compounds that enhance 5-oxoprolinase activity.

We aim to improve rupture risk prediction by technical innovations 1) enabling automatic assessment of the UIA shape (including size), 2) determining the effect of the bloodflow...

DCVA sample collection Outflow tract related aging with congenital heart defects: identifying causes and mechanisms of myocardial and large vessel wall adaptation, predictors...

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...

To optimally use brain imaging data in vascular cognitive impairment (VCI), the ImProVas project (i) develops and validates methods for automatic quantification of microbleeds...

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...

DOMESTICO or the Dutch nOcturnal and hoME dialysis Study To Improve Clinical Outcomes is a nationwide, combined retrospective and prospective, observational cohort study that...

We investigated whether hyperaggregation occurs during infection, and whether aspirin inhibits this. Patients hospitalised due to acute infection were randomised to receive 10...

The multidisciplinary ArmCoach4Stroke project aims to develop and evaluate a new and interactive therapy aid based on movement sensors to stimulate and optimize the daily use...

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...

Smoking and insufficient physical activity are key risk factors for cardiovascular disease. Perfect Fit uses big data science techniques to develop highly personalized and...

Developing AI for ECG interpretation

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...

To develop a liquid biopsy biomarker that can differentiate between the cause of stroke (ischemic and hemorrhagic stroke) in the acute phase, new technology will be developed...

We investigate diagnostic technologies to reduce cardiovascular disease. We use questionnaires, serious gaming, electrocardiography, digital stethoscopes and other eHealth...

The MyDigiTwin consortium will build the MyDigiTwin platform on top of the Personal health record depositories (Dutch: Persoonlijke Gezondheidsomgeving; PGO), enabling users to...

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...

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...

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...