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- W2753187540 abstract "Individualized dose adaptation usually requires Therapeutic Drug Monitoring (TDM) based on patient blood samplings. However this invasive approach, generally accompanied with discomfort and cost, is not always justified since it may occur that the resulting dose adaptation does not significantly differ in a population whose individuals share similar characteristics. Inspired by the principle of maximum likelihood, we propose a probabilistic approach, based on population-pharmacokinetic modeling and simulation, to evaluate the therapeutic performance of a dosing regimen in terms of dose and time. Two types of therapeutic indicators, time-based and concentration-based, are suggested to assess quantitatively different drug regimens with the aim to identify the optimal one. For the population under investigation, our results identified a stable and robust optimal regimen and determined critical times including toxicity. Moreover, for a same therapeutic target, our approach enables to identify more than one corresponding regimen, giving thus a great flexibility in clinical practice." @default.
- W2753187540 created "2017-09-15" @default.
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- W2753187540 date "2016-01-01" @default.
- W2753187540 modified "2023-10-04" @default.
- W2753187540 title "A Probabilistic Strategy for Group-Based Dose Adaptation" @default.
- W2753187540 cites W2018267956 @default.
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- W2753187540 doi "https://doi.org/10.1007/978-3-319-23413-7_141" @default.
- W2753187540 hasPublicationYear "2016" @default.
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