31 projects

COVoiceID - Identification of COVID-19 from Voice

COVoiceID project proposes a machine learning based system that will use patient's voice and cough to detect repeating patterns, with the aim to discriminate between voices of healthy individuals and COVID-19 patients. COVID-19 is a respiratory condition, affecting breathing and voice, and causing, among other symptoms, dry cough, sore throat, excessively breathy voice and typical breathing patterns. These are all conditions that can make patients' voice distinctive, creating recognizable voice signatures. The ability to successfully identify COVID-19 patients from their voice will heavily...

EICEL: Effects & Impulses of COVID-19 on/for teaching development in Luxembourg

EICEL will investigate the effects of the distance learning period (as a COVID-19 prevention measure) in Luxembourgish schools on pupils, teachers, and families with regard to teaching and learning arrangements from an interdisciplinary perspective. The overall goal is to adapt and develop innovative teaching and learning practices and specific pedagogical methods of a digitally supported learning culture in Luxembourg. It will give essential impulses to teaching development for the 21st century for Luxembourg and beyond, in order to help reducing educational inequalities and to cope with t...

Tracking SARS-CoV-2 with Open Banking API

According to the health authorities , due to the highly contagious potential of the SARS-CoV-2 (COVID-19 desease), the formal preventive quarantine has been replaced by an isolation strategy early March. However, such strategy cannot last for an undetermined period of time, since there is no concrete date for releasing a vaccine or discovering an effective medicine. The return of people to normal activities will probably happen gradually, but still it will create a new potential peak of cases if not made carefully. Thus, a post-isolation strategy needs to be well planned as the next phase....

COVID19 Literature Bio-Curation, Text-mining and Semantic Web Technologies

The world wide scientific response to COVID-19 pandemic is reflected in the ever-growing scientific literature. Enriching our current knowledge base (https://biokb.lcsb.uni.lu) with these publications requires joint efforts at each stage of the chain of process involved in the text-mining pipeline. This pipeline comprises several challenging tasks such as part-of-speech tagging, entity recognition and normalisation, or event extraction, which are essential to discover relevant knowledge in the form of entities, relations and events. Such knowledge is then made available to the public via se...

Understanding Immunity in COVID-19

Previously developed model of immune response [Abulikemu et al 2020] will be modified in the collaboration with model authors and used for understanding processes involved in SARS-CoV2. We will develop a systems immunology tool that stratifies the coronavirus patient population according to (i) their likelihood of developing the cytokine tornado and (ii) the tornado subtype they are subject to. It will insert individual patient information into our Abulikemu et al model [2020] and compute the implications for whether or not a flip from moderate ('acute') inflammation to a 'cytokine tornado...

Nonperforming mortgage loans in Luxembourg and the EU during and after the COVID-19 crisis

Luxembourg is one of the countries with the highest household leveraging on private debt and mortgage loans. Important for financial stability the economy is to examine the extent to which the number of households that have not been able to service their mortgages has increased, as a result of the COVID-19 lockdowns and production disruptions. An important part of the problem is to study the extent to which banks in Luxembourg and the EU face a risk of increased nonperforming loans. If there is a problem with increased nonperforming loans, then one should examine policies that can tackle th...

A dynamic model of the COVID-19 tuned for different countries: a systems-biological tool for the ...

A dynamic model of COVID-19 epidemics recently developed (video: https://youtu.be/lbsqJ1_WvmE, model: https://jjj.bio.vu.nl/models/westerhoff1/simulate/, ref: https://medrxiv.org/cgi/content/short/2020.03.29.20045039v1) will be tuned for different countries to analyze the effect of different measures in the anticipation of next epidemics. Models will be available for online simulations at JWS Online (https://jjj.bio.vu.nl/models/westerhoff1/simulate/), and used for the development of computer tutorials for systems biological studies.

Functional characterization of COVID-19 patient gut microbiome

While COVID-19 is mainly considered an airway and lung disease, up to 79% of patients present with gastrointestinal symptoms and recent studies report on the presence of SARS-CoV-2 viral RNA and particles in stools of infected patients, suggesting that the gastrointestinal (GI) tract may have a more important role in disease pathology or transmission than previously thought. The GI tract is also the site of the dense and diverse microbiome, which has the ability to regulate intestinal and systemic immunity through the conversion of dietary nutrients into bioactive metabolites. Consequently,...

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