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These data suggest that resistant organisms may successfully be treated by optimizing dosing regimens based on pharmacokinetic/pharmacodynamic parameters.
Minasian, L. et al. Optimizing dosing of oncology drugs.
Information regarding the pharmacokinetic (PK) and pharmacodynamic (PD) properties of a drug provides the basis for optimizing dosing.
Meeting these needs will likely involve identifying new biomarkers of early and reversible cardiotoxicity, designing and optimizing dosing and drug selection, and developing oncology drugs that can be administered with protectant therapies to improve safety profiles.
Optimizing dosing intervals and treatment duration therefore could further improve outcome in experimental sepsis.
Predictions from these in vivo models may be useful in optimizing dosing regimens for suppressing selection of resistance.
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This could help optimize dosing.
Prognostic biomarkers could be employed to improve clinical trial design (eg, stratification, patient selection, or enrichment) and optimize dosing.
Optimized dosing regimens for specific drugs may then serve as a basis to develop dosing guidelines for existing or newly developed drugs with similar disposition and/or effect.
HER2-overexpressing xenograft models in athymic mice were used to test the efficacy of anti-HER2 antibodies, develop dose response relationships, measure drug interactions between trastuzumab and chemotherapy, and optimize dosing schedules of chemotherapeutics combined with trastuzumab.
Real-time assessment of potential tissue biomarkers of Src inhibition was used to optimize dosing.
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