Title: Dynamical Systems Modeling in the Biopharma Industry

Speaker: Helen Moore Ph.D., Applied BioMath

Abstract: Quantitative systems pharmacology (QSP) models are increasingly being used for decision making in the biotechnology/pharmaceutical (biopharma) industry. "QSP models" refer to systems models in biopharma that include therapy and some mechanistic level of detail. These are typically ODE (dynamical systems) models, and they are connected to data with statistical structures, e.g., using nonlinear mixed-effects modeling.

I will show some examples of dynamical systems/ QSP models used in projects in the biopharma industry for multiple myeloma and leukemia therapy planning and will touch on equilibrium, stability, bifurcation, sensitivity, and identifiability analyses. One application of these analyses that I will discuss is the use of optimal control to optimize combination regimens. I'll also talk about one of the most important challenges across the biopharma industry currently: deciding model prediction credibility. This relies on verification, validation, and uncertainty quantification (VVUQ), which I will describe briefly.

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