Projects
DNA methylome and RNA transcriptoom analysis in proximal tubular cells, blood and urine during development of chronic kidney disease in mice University of Antwerp
Driving under the influence of illicit or psychoactive drugs: detection in blood and oral fluid University of Antwerp
Improved non-invasive diagnostics of arterial disease through integrated simulation of medical ultrasound, arterial blood flow and aretrial wall mechanics Ghent University
Aim is to develop an advanced simulation tool for cardiovascular ultrasound applications, based on computer simulations of blood flow and arterial mechanics (expertise Ugent). As Ugent lacks fundamental knowledge on medical ultrasound, we will collaborate with NTNU, Trondheim. This bilateral project will specifically allow us to couple wall mechanics (Abaqus) and ultrasound (Field) and develop advanced ultrasound applications (a.o. 3D).
The direct consequences of elevated free fatty acids concentrations in the blood on the viability of ovarian follicles and the oocyte's developmental capacity: an animal model. University of Antwerp
The study of the removal of uremic toxins and their kinetic behaviour in order to optimise blood purifying techniques Ghent University
Patients with renal failure retain a large variety of uremic retention solutes and are currently treated with a blood purifying technique like hemodialysis. To optimise this treatment, kinetic models, calibrated with clinical data, were developed, simulating solute transport in between different virtual body compartments. These models were further used to simulate different dialysis strategies.
Innovative imaging methods for the assessment of renal function and blood flow in dogs: A comparison of fMRI, 99m-DTPA scintigraphy, and contrast-enhanced ultrasound (CEUS). Ghent University
Automatic Detection of Parasites in Stool and Blood Smear Images using Trustworthy Machine Learning Ghent University
We want to design trustworthy AI models for parasite diagnostics that (i) estimate and minimise prediction uncertainty by out-of-distribution generalisation, (ii) exploit the potential of self-supervised learning, (iii) embed
context to come up with general-purpose models invariant to region, patient profile, and parasite type, and (iv) only have minimal computational requirements, thus facilitating deployment on edge devices.
Development of a multi-region methylation blood based test for pan-cancer detection. University of Antwerp
Impact of phenolic compounds on ACE and CCK signaling to reduce blood pressure and food intake Ghent University
These scholarships are awarded to researchers on the basis of social or humanitarian reasons