English | Ελληνικά
10 Dec 2020

The project aims at the development of an Intelligent Multimodal Framework for COVID-19 Risk Assessment and Monitoring based on Explainable Deep Learning

BioSim launches "smarty4covid", a new research project dedicated to the development of an Intelligent Multimodal Framework for COVID-19 Risk Assessment and Monitoring based on Explainable Deep Learning. The project is funded by the Hellenic Foundation for Research and Innovation. BioSim will partner with AILS lab towards the discovery of novel biomarkers of infection and disease progression by applying multimodal deep learning techniques on heterogeneous data consisting of self-reported risk factors, along with audio recordings of breathing, voice and speech, with the aim to:

  • increase the sensitivity of the screening procedure by detecting cases with high risk of COVID-19 infection,
  • enable the remote monitoring of patients with COVID-19, and
  • provide alert signals in case of emergency.