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We do not have to provide a pharmaceutical response to those who want to give up smoking.
The data on the 2009 pandemic should be seen as a window of opportunity to gain further insight into the unique risks posed by a robust pharmaceutical response to influenza pandemics as it relates to the local environment, climate, and demographics.
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This technique assists in the effective estimation of the relationships between design variables and pharmaceutical responses during pharmaceutical development.
This technique provides a better understanding of the relationships between causal factors and pharmaceutical responses in theophylline powder formulations.
Biomarkers are defined as "characteristics that are objectively measured and evaluated as indicators of normal biological processes, pathological processes, or pharmaceutical responses to a therapeutic intervention" [1].
Biomarkers are characteristics that are objectively measured as indicators of normal biological processes, pathological changes, or pharmaceutical responses to a therapeutic intervention [1].
We integrated thin-plate spline (TPS) interpolation and Kohonen's self-organizing map (SOM) to visualize the latent structure underlying causal factors and pharmaceutical responses.
The GR EANN predicted pharmaceutical responses such as TS and DT most accurately, as evidenced by high correlation coefficients in a leave-some-out cross-validation procedure.
To determine the design space and control space based on a scientific rationale that can satisfy a number of specifications of the pharmaceutical responses, a novel approach that takes advantage of the random number technique was investigated.
However, prediction of pharmaceutical responses based on the second-order polynomial equation commonly used in an RSM, is often limited to low levels, resulting in poor estimations of optimal formulations.
First, a parameter estimation method for time-dependent pharmaceutical responses (i.e., drug release and gelation kinetics) is proposed using the dual response estimation concept that separately estimates the response functions of the mean and variance, as a part of response surface method.
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