17 datasets gevonden

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...

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...

Cognitive impairment is common among people with cardiovascular or cerebrovascular disease. HBC1 explored the etiological role of hemodynamic factors in cognitive impairment,...

Developing AI for ECG interpretation

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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...

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 (AF) is the most common age-related cardiac rhythm disorder accounting for about one-third of rhythm abnormalities related hospitalizations with annual costs...

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

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...

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...

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...

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

Electrocardiographic imaging in patients to identify early signs of disease in arrhytmogenic cardiomyopathy. Therefore, clinical MRI/CT, body surface mapping (64-electrode ECG)...

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

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