
Scientists at MIT develop an AI model that predicts SARS-CoV-2 variants likely to cause new waves of infection. The model analyzes 9 million genetic sequences from 30 countries, including vaccination and infection rates. It detects 72.8% of variants causing at least 1,000 cases per million people in three months. Predictive accuracy increases to 80.1% after two weeks. The researchers suggest extending this approach to other viruses like influenza or avian flu.
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