A new AI algorithm developed by researchers at the University of California, Berkeley, can predict the spread of disease with an accuracy of up to 95%. The algorithm uses a combination of machine learning and data analysis to identify patterns in the spread of disease, such as the movement of people and the presence of environmental factors. This information can then be used to identify areas where disease is most likely to spread and to take steps to prevent outbreaks.

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