Population-level Tumor Growth Inhibition Modeling
Modeling population PK/PD is an essential step in the design of any therapeutic. However, selecting and parameterizing a model given experimental results from a small sample of individuals remains challenging. Further, individuals exhibit variability in distribution, clearance, and efficacy. We refine a model for a proposed anti-tumor therapeutic from in vivo mouse data by combining prior knowledge with a greedy optimal experimental design algorithm to maximize model identifiability with respect to clinically relevant metrics of interest.