Communicating the Value of Pharmacodynamic Modelling in Drug ...
Communicating the Value of Pharmacodynamic Modelling in Drug ...
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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