COVID-19 detection from coughs and speech
A team of researchers from IST (Instituto Superior Técnico – Universidade de Lisboa) and INESC-ID (Instituto de Engenharia de Sistemas e Computadores – Investigação e Desenvolvimento), coordinated by Isabel Trancoso, is developing a new project to explore the possibility of automatically detecting COVID-19 from its effects on cough and speech.
This project would allow developing a cheap, fast and easy to use artificial intelligence-based tool (deployed as a web platform and/or a mobile application) that could provide a preliminary assessment of potential infection by COVID-19. Although not a clinical diagnosis, this is valuable information that would help individuals to adopt preventive measures, and public and private healthcare operators, institutions, companies, etc. to optimize their screening campaigns by allowing them to focus their attention on suspected infected individuals.
For this goal, it is fundamental to collect an extensive dataset with representative examples of speech and simulated coughs and snores from both COVID-19 positive (symptomatic and asymptomatic) and negative individuals (ideally including also participants with respiratory conditions other than COVID-19, such as flu, cold, asthma, etc.). Then, signal processing and machine learning techniques will be used to assess the presence of biomarkers indicative of COVID-19 in coughs and speech, and to develop robust systems for the detection of COVID-19.
“We hope that this work will not end with the current pandemic and will allow us to continue studying clues of diseases that affect the respiratory system through acoustic signals that can be collected in a non-intrusive way”, said Isabel Trancoso, The Project Coordinator.
Your participation in this study is essential and warmly appreciated. To participate, just follow this link (where you can find the informed consent form), or use the following QR code.
More info: https://www.hlt.inesc-id.pt/w/COVID19
Workshop Metabolism and mathematical models: Two for a tango
Dates: November 18-19, 2021
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.