A Physiologically Based Pharmacokinetic Model in Drug Interaction Prediction: An Integrated Data Mining and Statistics Approach

Lang Li
Division of Biostatistics
Indiana University School of Medicine

Drug interactions on drug development are receiving more and more attention. A general physiologically based pharmacokinetic model (PBPK) is high desirable to predict in-vivo interaction from in-vitro data. We will discuss challenging computational and statistic issues: such as data mining methods to summarize published data, prediction accuracy assessment, Bayesian PBPK model development, and MCMC convergence speed.

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