# ***Email Competition Organizers***

If you haven't done so already, send an email to the organizing team (Bobak Mortazavi (bobakm@tamu.edu), Ryan King (kingrc15@tamu.edu), Subhamoy Mandal (s.mandal@ieee.org) and Tayo Obafemi-Ajayi (tayoobafemiajayi@missouristate.edu)) for information about the next step.

# Classification of COVID-19 severity using scRNA-Seq

Identification of molecular signatures of severity of COVID-19 infection has become of outmost importance for early treatment of this pandemic disease. For this the use of single-cell RNA sequencing (scRNA-Seq) makes possible to identify and quantify thousands of genes within thousands of cells. In this context, scRNA-Seq technology have called for novel artificial intelligence (AI) solutions for data analysis and medical application. The present challenge consists in the application of an AI algorithm to predict severity of COVID-19 infection using a scRNA-Seq dataset. This AI model can be of great significance and of practical value for further study of the signatures of severity of COVID-19.