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The use of mathematical modeling techniques in biomedical research is playing an increasingly important role in the understanding of the pathophysiology of disease processes. This includes not only understanding
mechanisms of physiological processes, but also diagnosis and treatment. In addition, its introduction in the study of genomics and proteomics is key in understanding the functional characteristics of gene expression and
protein assembly and secretion. Finally, with the increasing complexity and associated cost of drug development, modeling techniques are being used to streamline the process. This book is designed to give the reader the
mathematical and statistical information necessary to design tracer kinetic studies, to use noncompartmental methodologies and/or to develop multicompartmental models to interpret the data.
The book starts with
a review of fundamentals of radioactive and stable isotope tracer kinetics and then proceeds with a description of the noncompartmental and multicompartmental modeling methodologies to study systems in the steady state. The
focus is on understanding the basic assumptions inherent in the methodologies and the underlying mathematics and statistics, on discussing how to assess how `good' a model is and on giving some hints on how better to design
kinetic studies, in order to increase the probability of a successful study and to ensure the maximal information content in the experimental data to be extracted. The book has an extensive section on parameter estimation,
i.e., fitting models to data, first in general terms and then specifically related to noncompartmental and compartmental models. This is written from a basic point of view, and is intended to remove the mystery from the
`black box' of computer optimization software. Finally, a special application often found in tracer kinetic analysis, precursor-product relationships, is discussed.
Throughout the book, the goal is to provide
even the novice with sufficient background so that he/she can feel comfortable. A number of case studies, based upon real experimental data, are carried through the text. Other examples illustrate specific points. All data
examples are provided on a floppy disk.

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Price Summary

  • We started tracking this book on December 3, 2019.
  • This book was £170.99 when we started tracking it.
  • The price of this book has changed 13 times in the past 1,599 days.
  • The current price of this book is £159.60 last checked 9 hours ago.
  • This book is at its lowest price in the past 90 days.
  • This lowest price this book has been offered at in the past six months is £143.60.
  • This lowest price this book has been offered at in the past year is £108.66.
  • The lowest price to date was £108.66 last reached on April 24, 2022.
  • This book has been £108.66 one time since we started tracking it.
  • The highest price to date was £170.99 last reached on June 28, 2021.
  • This book has been £170.99 5 times since we started tracking it.

Additional Info

  • Text-to-Speech: Enabled
  • Lending: Disabled
  • Print Length: 467 Pages
  • File Size: 5,926 KB

We last verified the price of this book about 9 hours ago. At that time, the price was £159.60. This price is subject to change. The price displayed on the Amazon.co.uk website at the time of purchase is the price you will pay for this book. Please confirm the price before making any purchases.