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Being that pharmacokinetics (PK) is the study of how the body
handles various substances, it is not surprising that PK plays an
important role in the early development of new drugs. However, the
clinical research community widely believes that mathematics in
some way blurs the true meaning of PK. Demonstrating that quite the
opposite is true, Computational Pharmacokinetics outlines the
fundamental concepts and models of PK from a mathematical
perspective based on clinically relevant parameters. After an
introductory chapter, the book presents a noncompartmental approach
to PK and discusses the numerical analysis of PK data, including a
description of an absorption process through numerical
deconvolution. The author then builds a simple physiological model
to better understand PK volumes and compares this model to other
methods. The book also introduces compartmental models, discusses
their limitations, and creates a general-purpose type of model. The
final chapter looks at the relationship between drug concentration
and effect, known as PK/pharmacodynamics (PD) modeling. With both a
solid discussion of theory and the use of practical examples, this
book will enable readers to thoroughly grasp the computational
factors of PK modeling.
Being that pharmacokinetics (PK) is the study of how the body
handles various substances, it is not surprising that PK plays an
important role in the early development of new drugs. However, the
clinical research community widely believes that mathematics in
some way blurs the true meaning of PK. Demonstrating that quite the
opposite is true, Computational Pharmacokinetics outlines the
fundamental concepts and models of PK from a mathematical
perspective based on clinically relevant parameters. After an
introductory chapter, the book presents a noncompartmental approach
to PK and discusses the numerical analysis of PK data, including a
description of an absorption process through numerical
deconvolution. The author then builds a simple physiological model
to better understand PK volumes and compares this model to other
methods. The book also introduces compartmental models, discusses
their limitations, and creates a general-purpose type of model. The
final chapter looks at the relationship between drug concentration
and effect, known as PK/pharmacodynamics (PD) modeling. With both a
solid discussion of theory and the use of practical examples, this
book will enable readers to thoroughly grasp the computational
factors of PK modeling.
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