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They serve as a tool to identify those children who may benefit from GH treatment, and to help choose the optimal GH dose during the first years of treatment in order to optimize the individual catch-up growth response.
There is a great need to predict clinical outcome early after the start of sunitinib treatment in order to optimize treatment schedules and prevent unnecessary toxicity and costs.
The model can also serve as a tool for identifying those children who may benefit from long-term GH treatment, and will help to determine the GH dose needed during the first years of treatment in order to optimize individual catch-up growth.
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The possibilities for application of this new technique are, among others, the estimation of sludge drainability prior to mechanical dewatering on a belt filter, or the application of surplus sludge on reed beds, as well as adjustments of sludge loading, concentration or sludge pre-treatment in order to optimize the drainage process.
It also seeks to identify treatments in order to optimize interventions by restorers.
This supports IgG substitution therapies with low treatment frequencies in order to optimize the prevention of chronic infections.
This finding, if validated in future studies, would support the need for high performance standards in water treatment devices in order to optimize health benefits.
Findings from this study have the potential to provide an evidence base for revising healthcare decision making and treatment pathways in order to optimize the care of patients with CKD.
Such real-time data may be useful for guiding the evolution of pandemic antimicrobial drug treatment policy in order to optimize the use of scarce antimicrobial drugs by drawing on a range of different agents according to national stock availability at the time.
Detecting metabolic disorders before birth can result in immediate treatment post partum in order to optimize outcome.
However, for children in whom pre-treatment data are known, a model that uses pre-treatment data is preferable in order to optimize treatment during the first year and our suggestion is to use our previously published model to predict height gain during the first year [ 2, 5] and when deciding whether or not to initiate treatment.
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