Penn State College of Medicine researchers are involved in an ongoing study looking at the relationship between proteins called cytokines in saliva and COVID-19 infection to help predict the severity of infection.
Penn State College of Medicine researchers are involved in an ongoing study looking at the relationship between proteins called cytokines in saliva and COVID-19 infection to help predict the severity of infection.
Wayne State Researcher Developing AI Tool to Predict Severe COVID-19 Cases in Children
A researcher at Detroit’s Wayne State University is developing artificial intelligence to aid in the early detection of severe SARS-CoV2, the virus that causes COVID-19, in children.
A Wayne State researcher is developing a device built on artificial intelligence that detects whether COVID-19 will become a more severe disease in child patients. // Image courtesy of Wayne State University
A researcher at Detroit’s Wayne State University is developing artificial intelligence to aid in the early detection of severe SARS-CoV2, the virus that causes COVID-19, in children.
New AI Model for Early Detection of Severe SARS-CoV-2 Illness in Children
Written by AZoRoboticsFeb 4 2021
The impact of COVID-19 caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on children has been less when compared to adults.
Image Credit: Wayne State University.
However, some children diagnosed with SARS-CoV-2 experienced acute illnesses, such as respiratory failure and Multisystem Inflammatory Syndrome (MIS-C). Almost 80% of children with MIS-C fall critically ill with a mortality rate of 2%–4%.
At present, techniques to identify the spectrum of severity of the disease and to predict which children with SARS-CoV-2 exposure will develop acute illnesses, such as MIS-C, are lacking. Hence, there is an emergent need to create a diagnostic modality to differentiate the various phenotypes of the disease and for risk stratification.