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UA, UAMS Professors Work to Predict COVID-19 Spread

1 min read

Data science professor Justin Zhan is collaborating with UAMS professors David Ussery and Xuming Zhang to develop accurate predictions of genomic variation trends of coronavirus.

Their work will help public officials monitor the outbreak, adapt to changes and provide information for the design of vaccines, the University of Arkansas for Medical Sciences said Friday. 

“To control and prevent COVID-19, public officials need highly robust models for predicting how and where the virus will spread,” Zhan said in a news release. “This project will assist that effort and lead to better detection and prevention strategies. We think it could have colossal social and economic impacts.”

A novel, blockchain-based artificial intelligence system will be used for this project. 

Zhan’s research focuses on big data, blockchain technologies, information assurance and biomedical informatics. Ussery and Zhang will provide expertise in bioinformatics, microbiology and immunology.

A novel, blockchain-based artificial intelligence system will be used for this project. The system will be evaluated and tested through various coronavirus benchmark datasets. 

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