Mathematical Modeling Applied to Pharmaceutical Sciences Problems
Monday, June 14 at 09:30am (PDT)Monday, June 14 at 05:30pm (BST)Tuesday, June 15 01:30am (KST)
Carl Panetta (St. Jude Children's Research Hospital, US), Helen Moore (Laboratory for Systems Medicine, University of Florida, US)
The use of mathematical modeling in pharmaceutical sciences began more than 50 years ago with the use of differential equations to quantify plasma drug disposition (pharmacokinetics) and drug exposure effects (pharmacodynamics). As computing power increased, more complex models and methods have been developed to address challenging problems in this field. These include mechanistically /physiologically based models; optimal control methods for designing effective drug scheduling; sensitivity analysis methods to quantify the impact of parameter uncertainty on model outputs; and machine learning and artificial intelligence methods to help with the ever-growing amount of available data. Mathematical modeling is currently used throughout pharmaceutical sciences from early drug development (e.g., exploring effective drug targets via mechanistic pathway models), to designing efficient clinical trials (e.g., pharmacokinetic/pharmacodynamic and efficacy/toxicity modeling), to therapeutic drug monitoring (e.g., defining optimal safe and effective individualized treatments). This mini-symposium, organized by members of the International Society of Pharmacometrics--- an organization which supports quantitative work in the pharmaceutical sciences, includes four speakers who will provide an overview of several specific mathematical modeling areas in pharmaceutical sciences. The primary aim of this mini-symposium is to initiate discussion between mathematical modelers and researchers in pharmaceutical sciences in an effort to develop stronger collaborative ties.