Suggestions(1)
Exact(28)
The pharmacokinetic/pharmacodynamic analysis (PK/ PD) is a useful tool to optimize dosing regimens of antibiotic therapy.
Monte Carlo simulations were used to optimize dosing regimen, in order to maintain serum concentration above the target concentration (defined at 2 mg L−1) 100% of the time during the dosing interval.
Monte Carlo simulations were used to optimize dosing regimen, in order to maintain plasma concentration above the minimum inhibitory concentration (16 mg L−1 for Pseudomonas aeruginosa) throughout the dosing interval (100% fT > MIC).
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.
Although there is a good understanding of the role for therapeutic drug monitoring (TDM) to optimize dosing for drugs with a narrow therapeutic index (e.g., aminoglycosides, glycopeptides), limited data are available regarding TDM of antibiotics with wider therapeutic indices, such as the beta-lactam class of antibiotics [13].
This also makes it difficult to optimize dosing.
Similar(32)
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.
These data suggest that resistant organisms may successfully be treated by optimizing dosing regimens based on pharmacokinetic/pharmacodynamic parameters.
Improved methods to optimize drug dosing in the critically ill are urgently needed.
Therefore, PK analyses for many drugs, some of which are already marketed, are necessary to optimize drug dosing in hemodialysis patients.
RapidArc incorporates capabilities such as variable dose-rate, variable gantry speed, and accurate and fast dynamic multileaf collimators (DMLC), to optimize dose conformality, delivery efficiency, accuracy and reliability.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com