Innovative new technology now allows the measurement and collection of data throughout many manufacturing processes previously unavailable. The The Application of Statistical Process Control in the Pharmaceutical and Biotechnology Industries is a starting point for anyone who has been tasked to use technology to measure and collect data to gain an understanding of their processes in order to improve and control lengthy, complex supply chains in the pharmaceutical industry. It is a practical guide on how to apply statistical process control (SPC) within the pharmaceutical industry. It encourages all those involved in the industry - whether it be production, quality or the regulatory bodies - to start assessing data in a different way. This book delivers a way of viewing data that is both simple and easy to understand and relates to our understanding of the world in which we work. The first book to describe SPC in the pharmaceutical and biotechnology industries Highly practical approach Contains many case studies showing the application of SPC

This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods important to the nonclinical science areas within the pharmaceutical and biotechnology industries. Specifically the Discovery and Translational sciences, the Safety/Toxiology sciences, and the Chemistry, Manufacturing and Controls sciences. Drug discovery and development is a long and costly process. Most decisions in the drug development process are made with incomplete information. The data is rife with uncertainties and hence risky by nature. This is therefore the purview of Statistics. As such, this book aims to introduce readers to important statistical thinking and its application in these nonclinical areas. The chapters provide as appropriate, a scientific background to the topic, relevant regulatory guidance, current statistical practice, and further research directions.

This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry. The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods. The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader. The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors. One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995). We agreed that a more recent book would serve a need in our industry. Since we began this project, an edited book has been published on the same topic by Zhang (2016). The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development. We believe our book complements Zhang by providing more detailed statistical analyses and examples.

Written specifically for biotechnology scientists, engineers, and quality professionals, this book describes and demonstrates the proper application of statistical methods throughout Chemistry, Manufacturing, and Controls (CMC). Filled with case studies, examples, and easy-to-follow explanations of how to perform statistics in modern software, it is the first book on CMC statistics written primarily for practitioners. While statisticians will also benefit from this book, it is written particularly for industry professionals who don’t have access to a CMC statistician or who want to be more independent in the design and analysis of their experiments. Provides an introduction to the statistical concepts important in the biotechnology industry Focuses on concepts with theoretical details kept to a minimum Includes lots of real examples and case studies to illustrate the methods Uses JMP software for implementation of the methods Offers a text suitable for scientists in the industry with some quantitative training Written and edited by seasoned veterans of the biotechnology industry, this book will prove useful to a wide variety of biotechnology professionals. The book brings together individual chapters that showcase the use of statistics in the most salient areas of CMC.

Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents various algorithms that include the genetic algorithm, simulated annealing, differential evolution, ant colony optimization, tabu search, particle swarm optimization, artificial bee colony optimization, and cuckoo search algorithm. The design and analysis of these algorithms is studied by applying them to solve various base case and complex optimization problems concerning chemical, biochemical, pharmaceutical, and environmental engineering processes. Design and implementation of various classical and advanced optimization strategies to solve a wide variety of optimization problems makes this book beneficial to graduate students, researchers, and practicing engineers working in multiple domains. This book mainly focuses on stochastic, evolutionary, and artificial intelligence optimization algorithms with a special emphasis on their design, analysis, and implementation to solve complex optimization problems and includes a number of real applications concerning chemical, biochemical, pharmaceutical, and environmental engineering processes. - Presents various classical, stochastic, evolutionary, and artificial intelligence optimization algorithms for the benefit of the audience in different domains - Outlines design, analysis, and implementation of optimization strategies to solve complex optimization problems of different domains - Highlights numerous real applications concerning chemical, biochemical, pharmaceutical, and environmental engineering processes

Pharmaceutical Biotechnology: A Focus on Industrial Application covers the development of new biopharmaceuticals as well as the improvement of those being produced. The main purpose is to provide background and concepts related to pharmaceutical biotechnology, together with an industrial perspective. This is a comprehensive text for undergraduates, graduates and academics in biochemistry, pharmacology and biopharmaceutics, as well as professionals working on the interdisciplinary field of pharmaceutical biotechnology. Written with educators in mind, this book provides teachers with background material to enhance their classes and offers students and other readers an easy-to-read text that examines the step-by-step stages of the development of new biopharmaceuticals. Features: Discusses specific points of great current relevance in relation to new processes as well as traditional processes Addresses the main unitary operations used in the biopharmaceutical industry such as upstream and downstream Includes chapters that allow a broad evaluation of the production process Dr. Adalberto Pessoa Jr. is Full Professor at the School of Pharmaceutical Sciences of the University of São Paulo and Visiting Senior Professor at King’s College London. He has experience in enzyme and fermentation technology and in the purification processes of biotechnological products such as liquid–liquid extraction, cross-flow filtration and chromatography of interest to the pharmaceutical and food industries. Dr. Michele Vitolo is Full Professor at the School of Pharmaceutical Sciences of the University of São Paulo. He has experience in enzyme technology, in immobilization techniques (aiming the reuse of the biocatalyst) and in the operation of membrane reactors for obtaining biotechnological products of interest to the pharmaceutical, chemical and food industries. Dr. Paul F. Long is Professor of Biotechnology at King's College London and Visiting International Research Professor at the University of São Paulo. He is a microbiologist by training and his research uses a combination of bioinformatics, laboratory and field studies to discover new medicines from nature, particularly from the marine environment.

How to Create and Conduct Real-Life Reusable Case Studies with Industry Employer Alliances and Projects Written and Endorsed by Science and Business Professionals in the Research Triangle Park in North Carolina, USA. Many students and university teachers are unfamiliar with the industry environment. Case studies developed in collaboration with working professionals can help students and professors bridge the gap between universities and industry. This book provides guidance on how to approach industry professionals and create educational alliances. The strategy of establishing contact with industry employers and the process of developing and teaching case-studies are described. Among the case-studies are examples of how to identify biomarkers and new drugs simultaneously, prioritize and develop products in compliance with rules and regulations, commercialize products and protect and manage the intellectual property, optimize processes and technologies for manufacturing, and minimize human errors in production.