Scientists are using a i and machine learning to predict a structure of human proteins. They design new ones with functions never before seen in nature. This week we're going to talk about using waste water, i e, sewage, to detect saskov too.
Since early in the pandemic, scientists have searched for signals of SARS-CoV-2 transmission by sampling wastewater. This surveillance method has provided vital information to inform public health responses. But the approach has never been particularly specific - pointing to broad trends rather than granular information such as which variants are spreading where. But now a team from the University of California have created two new tools to sample waste water in much greater detail - and spot variants and their relative concentrations up to two weeks faster than testing-based surveillance methods. In this episode of Coronapod, we discuss the paper and ask how a system like this could help countries around the world respond to the COVID pandemic and beyond.
News: COVID variants found in sewage weeks before showing up in tests
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