MIT scientists developed an AI model predicting potential COVID-19 variant outbreaks. Analyzing 9 million SARS-CoV-2 genetic sequences from GISAID, alongside vaccination and infection data, they built a machine-learning risk assessment model. The model considers early infection trajectory, spike mutations and mutation differences from dominant variants. Read on to know more. , Health News, Times Now