covid19

Call for paper - Designing Machine Learning approaches for early-stage prediction of complications and risk stratification of COVID-19 patients

 

The Journal of Medical & Biological Engineering & Computing is now accepting submissions to an upcoming special issue, entitled:

Designing Machine Learning approaches for early-stage prediction of complications and risk stratification of COVID-19 patients

The Guest Editors board is represented also by Luca Romeo, Michele Bernardini, and Emanuele Frontoni of the VRAI Lab.

For further info and deadlines:

Covmatic: An open–source, high throughput system for COVID–19 testing

 

Covmatic is an open-source, automated system to perform diagnostic Coronavirus tests. Covmatic has been designed to significantly increase the speed and efficiency of COVID-19 testing, enabling labs and health authorities to track the pandemic. Tha VRAI Lab took part in the group of volunteers and partner organizations who developed this succesful project.

AI for Health @ Microsoft

VRAI Lab is happy to share that our Information Engineering Department (DII) at Università Politecnica delle Marche was granted by Microsoft AI for Health COVID-19 programme with our project aiCOVID19!
We try to join our forces with international researchers worldwide to combat the new coronavirus epidemic and to understand its aftermath. 

Info on the Microsoft AI for Health project: https://www.microsoft.com/en-us/ai/ai-for-health

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