Model-informed experimental design recommendations for distinguishing intrinsic and acquired targeted therapeutic resistance in head and neck cancer

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SUMMARY

    Mathematical models have been widely utilized to help understand drug resistance, and its consequences for treatment response and design-see ref 15-18 for reviews of modeling work on cancer drug resistance. Overwhelmingly, these models have Published in partnership with the Systems Biology Institute 2 assumed that resistance is either pre-existing (as in ref 19-22), or is a combination of pre-existing and spontaneously acquired resistance (as in ref 23-25). In the case where this measure of pre-existing resistance does not allow the mechanism of resistance to be definitively determined . . .

     

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