21 projects

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...

AICovIX - AI based diagnosis of Covid-19 from CT/X-Ray imaging

The gold standard for Covid-19 diagnosis is RT-PCR for SARS-CoV-2 from the upper airways. This method suffers from decreased accuracy in more severe disease stages affecting the lower airways. False negative PCR tests in severe cases impose a massive risk to the health system, promoting intra-hospital disease spread in the actual pandemic situation. Reports from China indicate false negative PCR from upper airway samples in severe Covid-19 pneumonia in more than 50% of the cases. Therefore, complementary tests for the detection of these dangerous cases are urgently needed. The value of che...

A unified web-based platform for viral phylogeny, proteomics and genomics research in real-time

We propose the development of an integrated web-based data exploration tool for genomics, proteomics, phylogeny, evolutionary and geographical data on SARS-CoV-2 samples from Luxembourg supporting researchers and physicians to gauge the potential impact of viral evolution on virulence and transmission dynamics but also the efficacy of molecular detection methods. Integrating different data sources and visualisation modes through a graphical web-interface will offer a unique perspective on the pathogen and serve as tools to assess potential imminent risks.

Xcope - Corona-Home-Control

The project is to develop an app that allows people to communicate with quarantined doctors. So you don't have to leave home if you have symptoms of a coronavirus and don't infect other people. We are building a stethoscope for the smartphone so that they can auscultate their lungs and also send it to their doctor. If we have enough data, we can also build machine learning or deep learning models to automatically detect when the coronavirus is causing pneumonia (then it becomes dangerous). This allowed people to be treated at home and only go to a hospital if the disease worsened.

Phylodynamic real-time monitoring of SARS-CoV-2 genomes

The current Covid-19 pandemic caused by the SARS-CoV-2 visus is an extreme world wide challenge to mankind's health. Current approaches to manage this challenge rely on reliable testing as well as the development of vaccination which both depend on the stability of specific sequences of the viral genome. Sequencing of viral genomes from patient samples provides deep insights on pathogen dynamics in terms of phylogeny and evolution allowing for spreading analysis and adaptation of molecular diagnostic and prevention strategies. Hence, the automatic dynamic analysis of data derived from v...

DICO-Lux: DIgital Covid-19 Observatory In LUXembourg: An Open Tool For SARS-COV-2 Crisis Manageme...

Monitoring online activities for public health purposes has been investigated since the first days of the digital epidemiology field early 2010s, with the objective of capturing health-related trends and model disease outbreaks. Most famous examples of internet surveillance were developed for the flu, influenza AH1N1, the Zika virus or Ebola. We now have the opportunity to leverage both the digital data available online and the appropriate Natural Language Processing (NLP) and Text Mining methods to fight the Covid-19 pandemic. The main objective of the DICO-LUX project is to rapidly d...

Communication4Care

In a nutshell: Communication4Care (Com4Care) is a cloud-based communication platform to facilitate GDPR conform interoperability and link of relevant (sensor) data with structured patient-related information. No data files need to be exchanged and the platform provides a secure data storage and (real time or asynchronous) communication channel. Thus, improved standardized data acquisition, process monitoring, and data interpretation are possible. The patient can collect and report individual findings and outcomes (PROMs) and 'distribution of information' or sending of data files (electronic...

ARVIR

Arspectra's Augmented Reality glasses are modified in order to detect fever - the primary symptom of Covid19 infection - on distance. It enables the healthcare personnel organizing the overload of potential patients while staying at safe distances. It allows police forces, or airport security personnel to immediately detect a case of fever at airport, border, station, and public controls. These professionals are at the frontline fighting the spread of the epidemics, yet represent 30 % of the overall people getting infected. Providing detection on safe distance ARVIR reduces their ris...

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