Projects
Artificial Intelligence (AI) for data-driven personalised medicine KU Leuven
This research project will develop explainable and interactive artificial intelligence (AI) for the analysis of large and complex clinical data, in order to improve respiratory medicine. On the one hand, we will explore and develop novel AI-based models for diagnostic and prognostic decision support at multidisciplinary board discussions, which are the gold standard for complex clinical decision making across medical disciplines. We will ...
Data driven approaches for personalised medicine KU Leuven
Personalized medicine is a medical model that bases its treatment choices on the genetic, clinical and environmental characterizations of individual people. In this context, data driven approaches can reveal data patterns that help predict individualized treatment effects.
Discovery of antimicrobial compounds from Hakka Traditional Medicine using high resolution mass spectrometric approaches KU Leuven
Bacteria and fungi continue to cause serious infections world-wide, whose treatment by existing antibiotics is increasingly hampered by the emergence of drug-resistant strains. The development of new antimicrobial drugs must therefore be a focus of new drug research and development. This requires the discovery of new active compounds (preferably with a novel mechanism of antimicrobial action) and elucidation of the molecular mechanism of drug ...
Reboot Sleep Medicine. University of Antwerp
Rationalisation of antimicrobial use for respiratory tract infections in calves Ghent University
Respiratory tract infections are the leading indication for antimicrobial use in food producing animals, in particular calves. Because detection of diseased animals in large groups in a limited time frame is very difficult, and because respiratory infections spread rapidly, today antimicrobial group therapy (metaphylaxis) is common practiced. This mass medication highly contributes to antimicrobial resistance levels on farms. In this project ...
Post-infectious immune reprogramming and its association with persistence and chronicity of respiratory allergic diseases Ghent University
The central hypothesis of the Predicta project is that repeated, acute infection-mediated events may reprogram the innate, adaptive or regulatory immune responses to predipose towards a chronic inflammation pattern.
The role of specific agents will be sought in order to develop innovative diagnostics for predicting disease chronicity, as well as interventions that may delay or prevent disease progression/persistence.
Improving our understanding of respiratory muscle training to facilitate weaning from mechanical ventilation in the ICU. KU Leuven
A majority of mechanically ventilated patients develop respiratory muscle weakness during critical illness. Rehabilitation efforts in the intensive care unit (ICU) have so far largely focused on peripheral muscle dysfunction, whereas respiratory muscle rehabilitation has received relatively less attention. The potential value of respiratory muscle conditioning interventions are supported by observations showing that respiratory muscle ...