A new flu forecasting tool aims to make better predictions by combining data about how the virus spreads with an estimate of how much the current virus evolved compared to recent years. The new model accurately predicted the total number of cases for each season in the US from 2002 to 2016, and produced an accurate, real-time prediction for the 2016-17 season before it started last year.