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We have transitioned the bench-based cytogenetic DCA to a coherent process performing high-throughput automated biodosimetry for individual dose assessment ensuring quality control (QC) and quality assurance (QA) aspects in accordance with international harmonized protocols.
Apart from the confirmation of efficacy, the acquired information may help to investigate the shape and location of the dose-response curve, the choice of an appropriate therapeutic starting dose, the identification of optimal strategies for individual dose adjustments, and the determination of a maximal dose beyond which additional benefit is unlikely to be obtained.
These findings imply that for individual dose optimization, individual calculation of the bone marrow absorbed dose is necessary.
This finding implies that for individual dose optimization, individual calculation of the bone marrow absorbed dose is necessary.
The work of Miller et al. (2002) described a general procedure for individual dose reconstruction using Bayesian inference and Markov chain Monte Carlo (MCMC) simulation.
Several population models have been developed to characterize the pharmacokinetics of tacrolimus following kidney transplantation and to identify covariates for individual dose selection.
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A summary of efficacy data and PK parameters (AUC0-24 and Cmax) for individual doses of panobinostat is given in Table 4.
The rates of ORR and grade 3 or 4 diarrhea and thrombocytopenia are plotted against panobinostat exposures for individual doses of panobinostat in Fig. 3.
All analyses for individual doses of pravastatin were based on fewer than 1000 patients, with the exception of pravastatin 40 mg for which data from over 7500 patients were available over durations of 12 weeks to five years.
These observations reinforce the potential role of SRPET for the prediction of outcome after PRRT, providing the rationale for individual dosing and allowing a more appropriate selection of patients who might benefit from this therapeutic strategy [ 59– 62].
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