Pharmacometrics uses models based on pharmacology, physiology, and disease for quantitative analysis of interactions between drugs and patients.
Mould and Upton provide an overview of basic concepts in population modeling, simulation, and model-based drug development.
Variability may be predictable (e.g. due to differences in body weight or kidney function) or apparently unpredictable (a reflection of the current lack of knowledge).
), and the word is defined by the main title of the book, which could have been even more explicitly, if more verbosely, expressed as "The Identification and the Comparative Evaluation, Qualitative and Quantitative, of Drug Activities".
We hope it will prove useful for distinguishing the kind of measurement discussed and described in this book from what is nowadays called bioassay; although the same techniques sometimes serve for both, their objectives are not at all identical.However, the editors later state at the end of the preface:...we have learned with interest and humility that Dr. Karl Beyer, a vice-president of Merck, Sharpe and Dohme, Rahway, New Jersey, U.S.A., and current president of the American Pharmacological Society, "coined the word (Pharmacometrics) in the early '50s and has been using it in internal reports ever since" (J. R. Vane, personal communication).
We can only hope that he also thinks so and that its use in the title of this book may help to give it the wider currency that we believe it to deserve and all the "priority" rights to Dr. Beyer.Pharmacokinetic models are constructs aimed at characterizing the average pharmacokinetic behavior of a drug within a population.
By delineating the time course of drug effects, these models contribute to the prediction of efficacy and adverse events, aiding in the identification of optimal dosing strategies.
They play a crucial role in determining the optimal therapeutic range and predicting the likelihood of efficacy or adverse events.
These models help predict the effects of co-administered drugs on each other, aiding in the identification of potential risks and the adjustment of dosages in the presence of multiple medications.
Mechanistic models provide a detailed understanding of the underlying biological and physiological processes governing drug behavior.