A growing list of global COVID-19 variants is prompting disease researchers to employ AI models trained using bioinformatics data to speed up vaccine development in the critical search to find improved vaccines that can effectively fight the virus mutations. In a paper published in the journal Scientific Reports, researchers from the University of Southern California’s Viterbi School of Engineering developed a machine learning model to speed vaccine analysis.

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