Publikation: Computing optimal drug dosing with OptiDose : implementation in NONMEM
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Determining a drug dosing recommendation with a PKPD model can be a laborious and complex task. Recently, an optimal dosing algorithm (OptiDose) was developed to compute the optimal doses for any pharmacometrics/PKPD model for a given dosing scenario. In the present work, we reformulate the underlying optimal control problem and elaborate how to solve it with standard commands in the software NONMEM. To demonstrate the potential of the OptiDose implementation in NONMEM, four relevant but substantially different optimal dosing tasks are solved. In addition, the impact of different dosing scenarios as well as the choice of the therapeutic goal on the computed optimal doses are discussed.
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BACHMANN, Freya, Gilbert KOCH, Robert J. BAUER, Britta STEFFENS, Gabor SZINNAI, Marc PFISTER, Johannes SCHROPP, 2023. Computing optimal drug dosing with OptiDose : implementation in NONMEM. In: Journal of Pharmacokinetics and Pharmacodynamics. Springer. 2023, 50(3), S. 173-188. ISSN 1567-567X. eISSN 1573-8744. Verfügbar unter: doi: 10.1007/s10928-022-09840-wBibTex
@article{Bachmann2023-06Compu-70945, year={2023}, doi={10.1007/s10928-022-09840-w}, title={Computing optimal drug dosing with OptiDose : implementation in NONMEM}, number={3}, volume={50}, issn={1567-567X}, journal={Journal of Pharmacokinetics and Pharmacodynamics}, pages={173--188}, author={Bachmann, Freya and Koch, Gilbert and Bauer, Robert J. and Steffens, Britta and Szinnai, Gabor and Pfister, Marc and Schropp, Johannes} }
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