UCLouvain
" www.covidata.be We gather data about the Coronavirus in Belgium, and attempt to extract meaningful information from it. We use open and/or public data to enable these analyses. "
Funding: No funding
Publication References: Work in progress
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.
ULiège
" My main research interest is the development of complete analytical solutions for biomedical applications. I mostly focus on breath and other volatile matrices characterization. "
Publication References: Zanella, D., HENKET, M., SCHLEICH, F., Louis, R., Focant, J.-F., & Stefanuto, P.-H. (2019). Multi-matrices screening for untargeted volatilomics by GC×GC-TOFMS. European Respiratory Journal. Supplement, 54, 4272. Purcaro, G.* , Stefanuto, P.-H.* , Flavio, F., Marco, B., Wieland-Alter, W., Wright, P., & Hill, J. (2018, March). SPME-GC×GC-TOF MS fingerprint of virally-infected cell culture: Sample preparation optimization and data processing evaluation. Analytica Chimica Acta. SCHLEICH, F., Zanella, D., Stefanuto, P.-H., Dallinga, J., HENKET, M., Wouters, E. F. M., Van Steen, K., Van Schooten, F., Focant, J.-F., & Louis, R. (2019). Exhaled Volatile Organic Compounds Are Able to Discriminate Between Neutrophilic and Eosinophilic Asthma. AMERICAN JOURNAL OF...
UMONS - Faculty of Engineering - ILIA and ISIA Departments
" This study allows an early Covid-19 diagnosis by using AI and explainable based classification and detection methods applied to CT and X-ray datasets. Many datasets form several hospitals in Belgium are used. The goal of the project is to use AI based methods to identify Covid-19 patients. Explainable AI methods are used to provide efficient interpretation and visualization tools for the classification and detection results obtained. The second goal of this project is to create a benchmark dataset composed of chest CT and X-ray database related to Covid-19 disease. To this aim, a semi-automatic annotation tool is developed in order to allow fast image annotation by radiologists. - Explainable artificial intelligence applied to Covid-19 detection based on CT and X-ray images. - Annotation tool development to build a benchmark database. "
Funding: University of Mons - Faculty of Engineering
Publication References: ...
ULB - FNRS
" Since the start of the COVID-19 pandemic, an unprecedented number of genomic sequences of the causative virus (SARS-CoV-2) have been publicly released. The resulting volume of available genetic data presents a unique opportunity to gain real-time insights into the pandemic, but also a daunting computational hurdle if analysed with gold-standard phylogeographic methods. We here describe and apply an analytical pipeline that is a compromise between fast and rigorous analytical steps. As a proof of concept, we focus on Belgium, one of the countries with the highest spatial density of sequenced SARS-CoV-2 genomes. At the global scale, our analyses confirm the importance of external introduction events in establishing transmission chains in the country. At the country scale, our spatially-explicit phylogeographic analyses highlight an impact of the national lockdown of mid-March on both the long-distance dispersal events and the dispersal velocity of viral lineages. Our...
ULB, UCLouvain, UNamur - FNRS
" Since early March, we have monitored spatial features of the epidemic, and various possible spatial determinants of its progression, including demographic, socio-economic and environmental indicators. We are also investigating the predictive and explanatory value of various indicators of mobility. Since the beginning of the covid-19 pandemic in Belgium, we observed strong spatial patterns in the disease case incidence. Before confinement measures came into effect mid-March, spatial predictors such as population density, as expected, were correlated to incidence. After the confinement came into effect, many such predictors no longer affected recorded incidence. We have assembled a rich database of demographic, socio-economic, and environmental indicators at the municipality level to identify spatial correlates of disease transmission. These are expected to differ pre- and through confinement, and to change further after confinement. We are also working...
UNamur
" Understanding the evolution of the epidemic spreading using simple mathematical models to overcome of the biaises in the data "
Funding: UNamur
Publication References: https://www.researchgate.net/publication/340610501_UPDATE_Italy_now_two_weeks_past_the_peak
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.
USL-B
" The pharmaceutical industry is confronted with many different issues at the levels of logistics and supply chain management. Traceability is a paramount in the pharmaceutical sector. It is not only essential to ensure the quality of the product, but also, it is required to trace possible adverse reactions back to a given lot of drug product, its manufacturing and control. Traceability needs to be addressed at three stages. First, the source (supplier) and origin (e.g. chemical, microbiological, animal, human…) of raw and starting materials must be identified. These materials must be tested and found compliant with compendial requirements. Second, traceability must be ensured in-house, throughout the all manufacturing process, from starting materials to the drug product, through the drug substance and all intermediates. Third, traceability should be ensured downstream, from lot release by the company to patient's administration. Traceability within the industry (stage 2) is...
ULiège and Centre Hospitalier Régional de la Citadelle (service de biologie clinique)
" Data have been collected by the clinical laboratory of the regional hospital on Covid-19 infected patients who needed hospitalisation in March-April 2020. Using these data collected on the day of admission, data mining techniques have been applied in order to determine whether it is possible to classify the patients into one out of two groups corresponding to a favorable or an unfavorable evolution. "
Contact: M. Schyns (This email address is being protected from spambots. You need JavaScript enabled to view it.) G. Haesbroeck (This email address is being protected from spambots. You need JavaScript enabled to view it.)
