Predicting cancer's growth from few clues

Duke mathematicians are developing ways to help doctors predict how different cancers are likely to progress when measurements of tumor growth are hard to come by. In a new study, they describe a way to compare common models of tumor growth, using only two time-point measurements of tumor size -- often the maximum available before patients begin treatment. Determining which models work best for different cancers is key to designing optimum treatment strategies.