Category: biomedical

DIGIPREDICT — Digital Twins for predicting disease progression and need for early intervention

Best student paper award for Lara Orlandic

Lara Orlandic received a   Best student paper award   at the 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. The paper is a study of how a person’s perception of the passage of time can be monitored and assessed, as a continuous evaluation of their mental health. Co-authors on the paper were Prof. (…)

Full Presentation: Self-aware anomaly detection for epilepsy monitoring

Farnaz Forooghifar presents our research on self-aware anomaly detection for epilepsy monitoring on low-power, wearable electrocardiographic devices.

Coughvid on Al Arabiya

Tomas Teijeiro is interviewed by Al Arabiya news about the Coughvid, in its last stages of testing. Subtitles provided by Halima Najibi (click on CC)

Digipredict digital twin will predict the evolution of Covid-19

Under a cross-disciplinary program spearheaded by EPFL, scientists will develop an AI-based system that can predict whether Covid-19 patients will develop severe cardiovascular complications and, in the longer term, detect the likely onset of inflammatory disease. Covid-19 comes with a range of symptoms – from a sore throat and the loss of taste to more (…)

Cough on your smartphone, it will tell you (more or less) if you’re Covid positive

A laboratory at EPFL is developing a system, based on artificial intelligence, which will make it possible to diagnose Covid-19 from the sound of a cough. The application, which should be available in early 2021, will allow free, widely available testing. Given all the different types of cough that are related to infectious diseases, it (…)

David Atienza interviewed by RTS on Swiss national TV

French-speaking RTS interview David Atienza about the upcoming release of Coughvid. Subtitles in English: click on CC on the bottom right.

Coughvid makes progress amid great anticipation

Anticipation is growing as we get closer to the release of the Coughvid app. David Atienza and Tomás Teijeiro have both been interviewed by major Swiss news organisations, Le Temps and ICTjournal. Much was made in each case of what is largely seen as a three-horse race between EPFL, Cambridge and MIT. While EPFL and (…)

The race between researchers for the diagnosis of Covid-19 in the sound of a cough

At EPFL, at Cambridge University and at MIT, researchers are working to develop algorithms to diagnose people as positive for Covid-19 based on the sound of their cough, as recorded on a smartphone. The results can be stupefying, but difficult to reproduce. No need to get tested: coughing on your phone could soon tell you (…)

Mobile apps will identify Covid with coughing

By using thousands of recordings of coughing sounds, computer programs are able to identify those that are related to Covid with a better rate of success than humans. A Swiss team is soon going to make available an app that will allow self-testing in a matter of seconds. “Cough, please.” Stethoscope in place, the doctor (…)