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Machine learning could help predict the seasonal cycle of Covid-19

Scientists at Lawrence Berkeley National Laboratory are using machine learning methods to process a plethora of health and environmental datasets to assess whether or not Covid-19 has a seasonal response. Verdict Medical Devices speaks to Berkeley Lab computational biologist Ben Brown, who is leading the machine learning analysis, to learn more.


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