UNamur - FNRS
" Professors and researches from the Department of Mathematics and the naXys research institute of complex systems at UNamur gathered their skills and expertise in mathematical modeling, dynamic systems, statistics, control theory and numerical optimization to develop prediction and unlockdown monitoring models of the Covid-19 epidemic. They set up a consortium in mathematical modeling of the Covid-19 epidemic bringing together all the universities of the Wallonia Brussels Federation, in synergy with its equivalent in Flanders. "
Contact: Annick Sartenaer (This email address is being protected from spambots. You need JavaScript enabled to view it.) Alexandre Mauroy (This email address is being protected from spambots. You need JavaScript enabled to view it.) Nicolas Franco (This email address is being protected from spambots. You need JavaScript enabled to view it.) Sébastien Clesse (This email address is being protected from spambots. You need JavaScript enabled to view it.) Morgane Dumont (This email address is being protected from spambots. You need JavaScript enabled to view it.)

ULB
"Our objectives are: • To study maternal and neonate COVID-19 information in the Belgian-Obstetric Surveillance System database: clinical presentation and natural history of disease, pregnancy-related basic information, pregnancy outcomes, birth characteristics, infant morbidity and mortality. • To study the core socio-demographic information to potentially identify groups at higher risk of complications • Build a more informative dataset thanks to data mining of public databases This study will enable us to understand the impact of COVID-19 on pregnant women and their offspring in Belgium, and in the world via the contribution to the INOSS multicenter study. It might allow us to define an at-risk population among pregnant women and their offspring, and tailor epidemiologic and clinical interventions for these more vulnerable individuals."
Funding: Pending (FNRS)
Publication References: "1. The International Network of Obstetric Survey Systems study of uterine rupture: a...

Read more: Caroline Daelemans, Professor

Institut Jules Bordet, ULB - FNRS
" Cancer patients under active treatment are thought to be highly vulnerable with regards to the current pandemic of COVID-19 disease. Their management has drastically changed over the past weeks, as clinics have been forced to adapt their care strategies according to national guidelines, postponing all non-essential consultations and having patients avoid the clinic altogether as much as possible. However, it is currently unclear if cancer patients are indeed at a higher risk of developing COVID-19 disease, and if systemic oncological treatment contributes to more severe disease because of suppression of the immune system, or rather protects against fatal cytokine release storms and acute respiratory distress syndromes. This information is absolutely crucial for the safety assessment of using cancer treatments during the COVID-19 pandemic, and for the monitoring of cancer patients during this period. Therefore, this project is a non-interventional...

Read more: Christos Sotiriou, FNRS Research Director

DNAlytics
" Research projects : contributions to research projects with academics and hospital representatives (-omics data investigations, biomarkers and multi-marker indicators, stratification of populations, predictive models for diagnosis/prognosis, ... Development / production capabilities: internal processes and quality system compatible with ISO.13485 (medical devices). Skills and expertise: data sciences, machine learning and other technologies from artificial intelligence; statistics, bio-IT; model encapsulation into software, mobile apps or web platforms "
Funding: Prestations sub-contracted by lead researchers, or partnerships through regional/EU projects with public funding.
Publication References: Complete list on www.dnalytics.com/publications/ 
Contact : This email address is being protected from spambots. You need JavaScript enabled to view it.

ULB
" Support of federal exit strategy team on the problem of short term forecasting of new hospitalizations "
Contact: mlg.ulb.ac.be  
Comment: Collaboration with Pr. M. Gilbert, member of GEES

Aesculape CRO Belgium BV
" Treatment of COVID 19 complications with antibodies "
Funding: partly public partly private
Contact : This email address is being protected from spambots. You need JavaScript enabled to view it. 0492 735931

Bordet Institute
" On April 11th, 2020, four patients hospitalized for more than 7 days developed fever some of them respiratory symptoms compatible with Covid-19 infection and were detected positive for SARS-CoV2. A 5th patient was also detected positive , had minor symptoms and was admitted 2 days earlier for collecting PBSC As a consequence of this mini-outbreak a screening of healthcare workers at this Unit revealed 2 staff members positive for SARS-CoV2. Severe acute respiratory distress syndrome Coronavirus 2(SARS-CoV2), causing Covid19 pandemic is rapidly spreading from person-to-person, via respiratory droplets, direct contact with mucous membranes or indirect contact through touching infected surfaces and then touching own eyes, nose or mouth. Airborne transmission after generated aerosols (intubation, bronchoscopy, tracheal aspiration,…) have been previously reported for other Coronaviruses(SARS-CoV1, MERS) and has been postulated for SARS-Cov2. In critical units such as the...

Read more: Mickael Aoun, Infectiologist

Erasme Hospital
" Precise the frequency of thrombosis events in COVID19 patients "
Funding: No need
Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

GSK - Royal Academy of Medicine of Belgium
" Support covid international: https://www.gsk.com/en-gb/media/resource-centre/our-contribution-to-the-fight-against-2019-ncov/ Support covid en Belgique: https://be.gsk.com/media/915368/cp-gsk-contributions-majeures-de-gsk-a-la-lutte-contre-le-covid-19.pdf NA NA "
Funding: NA
Contact: Philippe Denoel - This email address is being protected from spambots. You need JavaScript enabled to view it.

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.

UMONS 
" The high-performance computing facility of UMONS (Dragon 2, which is part of the Consortium des Equipements de Calcul Intensif), has been adapted and used to run the analysis of the COVID-19 phylogenetic clusters performed by the Spatial Epidemiology Laboratory at ULB (Dr. S. Dellicour and Prof. M. Gilbert). "
Contact: people involved at UMONS: Sébastien Kozlowskyj, system manager This email address is being protected from spambots. You need JavaScript enabled to view it. Prof. Roberto Lazzaroni This email address is being protected from spambots. You need JavaScript enabled to view it.

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: ...

Read more: Saïd Mahmoudi, Professor - Thierry Dutoit, Full Professor - Sidi Ahmed Mahmoudi, Professor- Xavier...

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.