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Rosa Webinar Series

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Hybrid Genetic Algorithm Approaches to Model Selection

Robert Bies, Pharm.D. Ph.D
Associate Professor of Pharmaceutical Sciences, Member Computational and Data Enabled Sciences Program at the University at Buffalo, NY

A newly implemented version of an established Genetic Algorithm based approach using NONMEM with some modifications into an R-shiny package that provides the same functionality with additional flexibility is presented.

Some refinements have been made in the selection process for evaluating models compared with the original evolutionary algorithm. Several population analyses using the updated algorithm are compared with results obtained using classical stepwise approaches in xenograft tumor growth profiles and population pharmacokinetic analyses