Summary: Researchers from the Massachusetts Institute of Technology (MIT) and The Hebrew University-Hadassah Medical School have developed an artificial intelligence (AI) model that can predict the spread of new variants of the SARS-CoV-2 virus. By analyzing genetic sequences from 30 countries and considering factors such as vaccination rates and infection rates, the model can identify which variants are likely to cause fresh waves of infection. The researchers found that the early trajectory of infections caused by a variant, its spike mutations, and the differences in mutations compared to dominant variants were strong predictors of infectiousness. This new approach to predicting variant-specific spread could have implications for other respiratory viruses and infectious diseases as well.
The source of the article is from the blog xn--campiahoy-p6a.es