-
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... -
ANEURYSM@RISK: automatic intracranial aneurysm quantification, 4D flow MRI...
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... -
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,... -
ECG-AI
Developing AI for ECG interpretation -
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... -
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... -
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... -
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... -
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... -
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... -
QRS vectors in Solving the Inverse Problem of Electrocardiography
Electrocardiographic imaging in patients to identify early signs of disease in arrhytmogenic cardiomyopathy. Therefore, clinical MRI/CT, body surface mapping (64-electrode ECG)... -
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... -
ESCAPE-HF
large small molecule screen to identify compounds that enhance 5-oxoprolinase activity.
U kunt ook het register raadplegen met behulp van de API (see API documentatie).