HIGHLIGHTS
SUMMARY
The approaches that previous studies have considered at looking at the relationship between viral genome or spike_protein changes and disease severity have included genetic comparison, meta-analysis of published clinical studies, and analysis of mutations in GISAID samples with clinical metadata. Other more complex analysis has included the use of deep neural_networks, in particular, a combination of convolutional neural_network (CNN) and recurrent neural_network (RNN), which attempted to predict what mutations would increase virulence severity based on countrywide death statistics. As described further in the Results section, the studies shown in this paper employ two . . .
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