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The Future of Pharmaceuticals: A Nonlinear Analysis

Autor Sarfaraz K. Niazi
en Limba Engleză Paperback – mar 2022
Before now, biological systems could only be expressed in terms of linear relationships, however, as knowledge grows and new techniques of analysis on biological systems is made available, we are realizing the non-linearity of these systems. The concepts and techniques of nonlinear analysis allow for more realistic and accurate models in science. The Future of Pharmaceuticals: A Nonlinear Analysis provides an opportunity to understand the non-linearity of biological systems and its application in various areas of science, primarily pharmaceutical sciences. This book will benefit professionals in pharmaceutical industries, academia, and policy who are interested in an entirely new approach to how we will treat disease in the future.
Key Features:
  • Addresses a new approach of nonlinear analysis.
  • Applies a theory of projection to chalk out the future, instead of basing on linear evolution. Provides an opportunity to better understand the non-linearity in biological systems and its applications in various areas of science, primarily pharmaceutical sciences.
  • Helps change the thought process for those looking for answers to their questions which they do not find in the linear relationship approach.
  • Encourages a broader perspective for the creative process of drug development.
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Specificații

ISBN-13: 9780367701390
ISBN-10: 0367701391
Pagini: 620
Ilustrații: 79 Tables, black and white; 74 Line drawings, black and white; 44 Halftones, black and white; 118 Illustrations, black and white
Dimensiuni: 178 x 254 x 43 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Academic, Postgraduate, Professional, and Professional Practice & Development

Cuprins

Preface.....................................................................................................................................................xix
Acknowledgments.................................................................................................................................xxvii
Author....................................................................................................................................................xxix
Glossary of Important Terminology......................................................................................................xxxi
1 Understanding Nonlinearity............................................................................................................ 1
2 The Evolution of Pharmaceuticals................................................................................................. 23
3 Artificial Intelligence...................................................................................................................... 69
4 Drug Discovery Trends................................................................................................................... 91
5 Drug Development Assays.............................................................................................................143
6 Nanomedicine................................................................................................................................ 195
7 Antimicrobials................................................................................................................................231
8 Therapeutic Proteins......................................................................................................................251
9 Manufacturing Trends................................................................................................................. 307
10 Therapeutic Protein Delivery Systems........................................................................................ 345
11 Gene and Cell Therapy..................................................................................................................381
12 Nucleic Acid Vaccines....................................................................................................................421
13 Botanical Products........................................................................................................................ 439
14 Regulatory Optimization.............................................................................................................. 469
15 Intellectual Property......................................................................................................................531
Index........................................................................................................................................................557

Notă biografică

Sarfaraz K. Niazi, Ph.D., is an Adjunct Professor at the University of Illinois and University of
Houston; he has authored 60+ major books, 100+ research papers, and 100+ patents, mainly in the field
of bioprocessing, drug discovery, mRNA vaccines, drug formulations, thermodynamic systems, alcohol
aging, nutraceuticals and treatment of autoimmune diseases. He has established multiple biotechnology
projects, from concept to market. He also serves as an advisor to major pharmaceutical and biopharmaceutical
companies, regulatory agencies, the FDA, the US Congress, and several heads of state. He is
also a patent law practitioner.

Descriere

Before now, biological systems could only be expressed in terms of linear relationships, however, as knowledge grows and new techniques of analysis on biological systems is made available, we are realizing the non-linearity of these systems. The concepts and techniques of nonlinear analysis allow for more realistic and accurate models in science. The Future of Pharmaceuticals: A Nonlinear Analysis provides an opportunity to understand the non-linearity of biological systems and its application in various areas of science, primarily pharmaceutical sciences. This book will benefit professionals in pharmaceutical industries, academia, and policy who are interested in an entirely new approach to how we will treat disease in the future.
Key Features:

  • Addresses a new approach of nonlinear analysis.
  • Applies a theory of projection to chalk out the future, instead of basing on linear evolution. Provides an opportunity to better understand the non-linearity in biological systems and its applications in various areas of science, primarily pharmaceutical sciences.
  • Helps change the thought process for those looking for answers to their questions which they do not find in the linear relationship approach.
  • Encourages a broader perspective for the creative process of drug development.