Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning
G. R. Meehan, V. Herder, J. Allan, X. Huang, K. Kerr, D. C. Mendonca, G. Ilia, D. Wright, K. Nomikou, Q. Gu, S. M. Arias, G. De Lorenzo, V. Cowton, N. Upfold, N. Palmalux, , M. Palmarini
This study develops quantitative pipelines using digital pathology and machine learning to assess the virulence of SARS-CoV-2 variants in hamsters, showing that some Omicron sub-lineages have regained virulence.
bioRxiv · Aug 1, 2023Microbiology