A Harvard research team has fused biophysics with artificial intelligence to swiftly identify high-risk viral variants, aiming to improve pandemic preparedness. By predicting the evolutionary trajectory of viral strains, the approach allows public health officials to respond more effectively to potential threats. The studies detail methods for not only predicting which variants may emerge as risks but also for accelerating their experimental validation. This transformative framework reshapes the response to viral outbreaks by providing timely insights into variant risk assessment and public health strategies.
The research team combined biophysics with artificial intelligence to identify high-risk viral variants quickly, fundamentally altering how we predict and respond to pandemics.
The lab aims to be proactive in preparing for new viruses by using physics and chemistry to predict variant evolution and which variants will dominate populations.
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