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