Carolyn Cho

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  Online Colloquium: Carolyn Cho - (Mathematical) Model-Informed Drug Development
  Carolyn Cho
  Mathematical biosciences research is increasingly used to drive decisions that are made during the drug discovery and development process. Underscoring this impact, the U.S. Food and Drug Administration has a goal of integrating model-informed drug development (MIDD) into more drug applications and advancing the use of MIDD, under the 2017 Prescription Drug User Fee Amendments act. This goal aims to develop information that cannot or would not be generated experimentally.
  
  We will discuss the typical scientific questions encountered during the development of therapeutic agents. To illustrate the breadth of mathematical approaches that can be employed to address these questions, the mathematical models used during the development of a novel glucose-responsive insulin will be presented.
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  Keynote: When Glucose Control Goes Wrong: Mathematics in Pharmaceutical Research
  Carolyn Cho

  Homeostasis of blood glucose is the central tenet of metabolic disease and its treatment. This nonlinear dynamics problem is an obvious application of mathematical modeling. In particular, the practical questions of pharmaceutical research and development has offered several opportunities to bring modeling to an enterprise that is only recently accepting quantitative approaches on an equal footing with empirical approaches. Mathematical modeling of metabolic disease will be discussed in the context of pharmaceutical development from target discovery to translation of animal models informing clinical design to drug registration PK/PD.