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Scientists developed an A.I. tool using real-world state and regional data from the U.S. and Japan, then tested its forecasts against historical flu data. By incorporating location data, the A.I. system is able to outperform other state-of-the-art forecasting methods, delivering up to an 11% increase in accuracy and predicting influenza outbreaks up to 15 weeks in advance.