In order to help identify new viruses that may have health impacts on society, University of Waterloo researchers are using machine learning to quickly track potential new strains of viruses similar to COVID-19.
The researchers have trained machine learning algorithms to help them refine the classifications of about 5,300 different viral genomes from the National Centre for Biotechnology Information database.
Being able to identifying these COVID-19-like viruses within minutes, helps create future vaccines and treatments that can be more quickly developed to help protect the public.
To learn more, visit University of Waterloo.
