Projects
Exploring the potential and underlying mechanisms of therapeutic activation of p53 in combination with immunotherapy to stimulate an innate immune response against non-small cell lung cancer. University of Antwerp
Fundamental insight into the role of the support and electrocatalyst in CO2 electrolyzers: are carbon-based materials the solution or the problem? University of Antwerp
Development of Automatic Physiological and Behavioural Monitoring Systems for Pigs KU Leuven
Automated physiological and behavioural monitoring can play a major role in assessing the welfare of pigs. Conventional behaviour monitoring through human observers is time-consuming and labour-intensive. Wearable sensors to measure activity and physiological signals also need to be attached to animals, and so are not robust and animal-friendly for long-term monitoring. The aim of this thesis was to explore new approaches for monitoring of ...
RECONDITIONING OF TRANSPLANT LIVERS USING NORMOTHERMIC MACHINE PERFUSION AND PARACRINE FACTORS OF HUMAN LIVER STEM CELLS KU Leuven
The success of liver transplantation as a curative treatment for irreversible liver failure has led to a dramatic shortage in suitable donor organs. To expand the donor pool, livers previously considered unsuitable for transplantation are now increasingly used. Such ‘high-risk’ grafts are more susceptible to ischemia reperfusion injury (IRI), that results from consecutive interruption and reinstitution of blood and oxygen during the ...
An implantable sensor for heart activity monitoring KU Leuven
EXTRACT: Extracting Terminology Automatically from Comparable Texts Ghent University
Specialised, domain-specific vocabulary, i.e. terminology, has always been difficult and time-consuming to understand and translate well. Nonetheless, terms often contain essential information and a good comprehension is imperative in many contexts (e.g. medical texts, technical manuals and legal documents). Not only human translators face this problem, but machine translation (MT) as well. MT is typically based on enormous volumes of ...
Machine Learning for Human Health: From Activity and Vital-Sign Monitoring to Mortality Prediction KU Leuven
In this dissertation, we aim at handling the problem of uncertainty in medicine and health care. This problem is at the core of clinical practice as clinicians have to make decisions on a daily basis for the good of their patients. Uncertainty in medicine and healthcare has several taxonomies, one of them classify it into three categories: personal, conceptual and technical uncertainty. In this thesis, we focus on technical uncertainty which ...
Development of methodologies for X-ray transmission CT imaging to provide both chemical and morphological information Ghent University
In conventional high-resolution X-ray computed tomography (micro-CT), the internal and external morphology of an object or patient can be determined in 3D. This is a very powerful and very common technique in medicine, but also in material science, geology, biomedicine, etc. it is becoming increasingly popular. However, a conventional CT scan measures the local X-ray linear attenuation coefficient which often doesn’ provide sufficient ...