Volume of Distribution Prediction: Physiologically Based ...
Volume of Distribution Prediction: Physiologically Based ... Volume of Distribution Prediction: Physiologically Based ...
patrick-poulin@videotron.ca P. Poulin. April, 2007.Distribution Prediction AAPS – November 11, 2009Distribution Parameters EstimationMETHOD XMETHOD YKpEssential inputParameters ofPBPK modelsTissueVolumesVdssVdssVdss = volume of distribution at steady-stateKp = tissue:plasma (blood) ratios at steady-state
patrick-poulin@videotron.ca P. Poulin. April, 2007.Distribution Prediction AAPS – November 11, 2009Distribution Parameters:How can we estimated it?In vivo StudiesBolus: Statistical momenttheory (Vdss)Infusion: measurement inanimal tissues (Kp)Prediction MethodsDiverse correlationsAlgorithms"Hybrid" modelsPrediction: knowing Vdss earlier would reduce time, cost and animals.Physiologically-based prediction: knowing that we may lackknowledge to facilitate more rationale decisions.
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- Page 33: ReferencesPoulin P, Theil FP. 2002.
patrick-poulin@videotron.ca P. Poulin. April, 2007.<strong>Distribution</strong> <strong>Prediction</strong> AAPS – November 11, 2009<strong>Distribution</strong> Parameters:How can we estimated it?In vivo StudiesBolus: Statistical momenttheory (Vdss)Infusion: measurement inanimal tissues (Kp)<strong>Prediction</strong> MethodsDiverse correlationsAlgorithms"Hybrid" models<strong>Prediction</strong>: knowing Vdss earlier would reduce time, cost and animals.<strong>Physiologically</strong>-based prediction: knowing that we may lackknowledge to facilitate more rationale decisions.
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