15 projects
Status
Domain
Organization Type
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.
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...
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...
An integrative network-based drug repurposing approach for COVID-19
We aim at analyzing the publicly available transcriptomics data generated by exposing human lung epithelial cells to SARS-CoV particles and measuring the differences in the gene expression. We will use a molecular network analysis approach to identify a set of key genes, that represent key regulators in the SARS-CoV gene expression signature. This signature will be filtered to distinguish pathological from protective responses and used to identify drugs that could potentially reverse pathological features of the disease phenotype based on the anti-correlation of known drug-response gene exp...
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...
Controling the symptoms
Since the information about the COVID-19 pandemic isn't that much available. The easiest and fastest way to mitigate the virus is by controlling the symptoms.
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...
Easy ambulatory diagnostic profilometry for Covid19 symptoms tracking: computed in Luxembourg
This project contributes to the following work packages: WP01: Infection prevalence, WP02: Predictive markers for covid-19 severity, WP05:real-time epidemiological data on COVID-19 positive or suspected cases treated in the ambulatory setting, WP07 : map and analyse COVID-19 incidence in Luxembourg, WP05 : exit strategy and 'controlled return to normalisation'. In order to easily track symptoms and severity of Covid19 diagnosed or suspected subjects, we propose a simple ambulatory diagnostic system for creating a functional capacity profilometry of an individual with modular approaches i...