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.
Predicting cancer’s growth from few clues
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