Development of Innovative Drugs via Modeling with MATLAB: A Practical Guide

Gieschke, Ronald; Serafin, Daniel

ISBN 10: 3662521105 / ISBN 13: 9783662521106

Published by Springer, 2016

In. Seller Inventory # ria9783662521106_new

Synopsis:

The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens?

Written from the industry perspective and based on many years of experience, this book offers:

- Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs

- Guidance for exploration and modification of these programs to enhance the understanding of key principles

- Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature

- A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling.

Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development.

From the Back Cover:

The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens?

Written from the industry perspective and based on many years of experience, this book offers:

§ Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs

§ Guidance for exploration and modification of these programs to enhance the understanding of key principles

§ Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature

§ A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling.

Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development.

Bibliographic Details

Title: Development of Innovative Drugs via Modeling...
Publisher: Springer
Publication Date: 2016
Binding: Soft cover
Condition: New