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Communicating the Value of Pharmacodynamic Modelling in Drug ...

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Conclud<strong>in</strong>g Remarks<br />

Model<strong>in</strong>g provides <strong>the</strong> means for <strong>in</strong>tegrat<strong>in</strong>g knowledge and us<strong>in</strong>g it for<br />

quantitative decision-mak<strong>in</strong>g.<br />

Exposure – response models are key to allow extrapolation to o<strong>the</strong>r<br />

populations and to design<strong>in</strong>g fur<strong>the</strong>r studies.<br />

Cl<strong>in</strong>ical <strong>in</strong>formation about previously developed drugs may be exploited to<br />

develop models for predict<strong>in</strong>g cl<strong>in</strong>ical outcomes.<br />

Such prior knowledge (prior <strong>in</strong>formation + models) can be exploited to<br />

accelerate cl<strong>in</strong>ical development.<br />

M&S can be exploited to answer important cl<strong>in</strong>ical questions; appropriate<br />

display <strong>of</strong> <strong>the</strong> results is critical to <strong>in</strong>formation transfer and decisionmak<strong>in</strong>g<br />

with<strong>in</strong> cl<strong>in</strong>ical teams.<br />

slide 44<br />

30 May 2008, ARCS<br />

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