8 projects
Status
Organization Type
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...
Coronajhemp: A COVID-19 Superhero For Luxembourg
The goal of this project is to enable quick access to trustworthy information and provide the Luxembourgish population with virtual assistance on topics related to COVID-19, towards the use of a chatbot. Moreover, a chatbot will help reduce the spread of wrong information among the population and relieve the existing governmental hotline for elder people. Users will be able to ask simple questions such as 'What are the symptoms of COVID-19?' or more subtle concerns like 'Where can I get tested?'. The chatbot could also be used to perform a quick diagnosis and assist the user with requesting...
INFODEMIC - Combating the Infodemic to Curb the Pandemic: A Step Towards a Reliable and Knowledg...
Building on SnT/Uni.lu expertise on text analytics and machine learning, we propose the INFODEMIC project to challenge fake news on social media. Our approach considers a holistic view in combating fake news. To that end, we develop three key work packages: (1) Archiving of viral fake news, where a wikipedia-like crowdsourcing approach is investigated for building a large and publicly-searchable repository of fake news; (2) Automating early detection of fake news, where transfer learning-based models are devised to flag potential fake news in a multilingual setting; (3) Integrating a relia...
MC19: Early Detection of Epidemics and Health Status Prediction Using Intelligent Wireless Body Sensors
MyelinS, a Luxembourgish startup (LLC in the incorporation phase) is proposing a novel solution for early detection of epidemics (particularly Covid-19), health status daily analysis, and prediction of critical health situations caused by the virus without any direct medical intervention, avoiding thereby any risk of transmission of the virus to the healthcare workers, as well as to healthy people. Unlike any existing solutions, the proposed detection and prediction system is non-invasive (on mobile phones), accurate, and rapid (detection in less than 1.5 minutes). The proposed solution ...
Machine Learning to the Rescue: From Health Recovery to Economic Revival
REBORN is a data science project that focuses on the challenge of ensuring sustainable economic recovery in face of Covid-19. The project team will apply advanced Machine Learning and simulation techniques to yield recommendations of economic actions given different scenarios in which the lockdown is relaxed, partially or totally lifted. By interacting with other teams of the Luxembourg Task Force, this project targets high impact for the various sectors of the Luxembourg economy, through providing appropriate data-driven recommendations for political decision-makers. We expect that REBORN ...
Pandemic Simulation and Forecasting for an Empowered Policy-Making: Convergence of Machine Learni...
The COVID-19 pandemic has created a public health emergency unprecedented in this century. The lack of accurate knowledge regarding the outcomes of the virus has made it challenging for policymakers to decide on appropriate countermeasures to mitigate its impact on society, in particular the public health and the very healthcare system. Therefore, the PILOT project will support policymakers with simulation and forecasting tools of the pandemic. Similar tools have already been designed, as part of a collaborative endeavour of the Research Luxembourg taskforce, to assess the short-term imp...
Privacy Preserving Covid-19 Data Analytics Platform
The COVID-19 pandemic comes with an urgent need of exchanging confidential patient information among local and regional health organizations. Sharing knowledge is crucial for disease surveillance, protecting public health, fighting misinformation and managing the virus outbreak. Medical service providers are required to disclose facts about admissions, transfers and discharges to various entities like the patient's primary care practitioner and post-acute-care services providers. The dissemination of patients' medical records is subject to malicious activities. Most of the current sol...
Real-time Social Distancing Analysis
The idea of this project is to analyse if the Social Distancing measures decided by the government are being respected by the general population. To do so we propose to analyse anonymised video data in the City of Luxembourg.