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Collaborations between mathematicians, cancer biologists and clinical oncologists enable both rapid cost-effective testing of cancer drug combinations, and deeper understanding of cancer drug resistance. (Shutterstock)
by Mohammad Kohandel
Applied mathematics can be a powerful tool in helping predict the genesis and evolution of different types of cancers, a study from the University of Waterloo has found.
The study used a form of mathematical analysis called evolutionary dynamics to look at how malignant mutations evolve in both stem and non-stem cells in colorectal and intestinal cancers.
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