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Pharmaceutical Research|March 26, 2008
Physiologically based pharmacokinetic modeling of drug disposition in rat and human: a fuzzy arithmetic approachKok-Yong Seng, Ivan Nestorov, Paolo Vicini
Journal of Pharmacokinetics and Pharmacodynamics|August 22, 2007
Simulating pharmacokinetic and pharmacodynamic fuzzy-parameterized models: a comparison of numerical methodsKok-Yong Seng, Ivan Nestorov, Paolo Vicini
Critical Reviews in Biomedical Engineering|May 13, 2003
Model-based approaches to biomarker discovery and evaluation: a multidisciplinary integrated reviewPaolo Vicini, Marc R Gastonguay, David M Foster
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Glucose Minimal Model population analysis: likelihood function profiling via Monte Carlo samplingPaolo Denti, Paolo Vicini, Alessandra Bertoldo, et al.
Journal of Pharmacokinetics and Pharmacodynamics|October 6, 2005
Robust population pharmacokinetic experiment designMichael G Dodds, Andrew C Hooker, Paolo Vicini
American Journal of Physiology. Endocrinology and Metabolism|September 7, 2006
Population approaches to estimate minimal model indexes of insulin sensitivity and glucose effectiveness using full and reduced sampling schedulesKevin M Krudys, Steven E Kahn, Paolo Vicini
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Physiologically based pharmacokinetic model of midazolam disposition during pregnancyMarilee A Andrew, Mary F Hebert, Paolo Vicini
American Journal of Physiology. Endocrinology and Metabolism|January 28, 2010
IVGTT glucose minimal model covariate selection by nonlinear mixed-effects approachPaolo Denti, Alessandra Bertoldo, Paolo Vicini, et al.
IEEE Transactions on Bio-Medical Engineering|April 22, 2009
Nonlinear mixed effects to improve glucose minimal model parameter estimation: a simulation study in intensive and sparse samplingPaolo Denti, Alessandra Bertoldo, Paolo Vicini, et al.
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