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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