6 projects
Status
Domain
Organization Type
AnalysisMode
We are creating a citizen science platform to allow any person, without scientific background, to be involved in the search for a COVID-19 vaccine. Our solution combines human and artificial intelligence in a model to predict vaccine candidates.
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...
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...
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...
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 ...
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 ...
