Sean Ekins, MSc, PHD, DSc, is the Principal at Collaborations in Chemistry; and Adjunct Associate Professor in the Department of Pharmaceutical Sciences at the University of Maryland, School of Pharmacy. Dr. Ekins has published widely on ADME/Tox, systems biology, computational, and in vitro drug discovery approaches. He has previously edited two Wiley books: Computer Applications in Pharmaceutical Research and Development (2006) and Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals (2007).
Jinghai J. Xu, PHD, is Director of Automated Biotechnology at Merck. Previously he headed predictive toxicology at Pfizer, where he led research activities in drug-induced liver injury, genetic toxicology, drug transporters, assay development, high content screening, in vitro in vivo correlations, systems biology, and systems toxicology. Dr. Xu has served on steering committees of academic-industry and industry-industry collaborations, and as a guest lecturer at the Massachusetts Institute of Technology.
The convergence of medical science, biology, pharmacology, biomedical engineering, healthcare, and information technology is revolutionizing medical and scientific practice, and has broader social implications still being understood. The Engines of Hippocrates provides a unique, integrative, and holistic look at the new paradigm of information-based medicine, covering a broad range of topics for a wide readership.
The authors take a comprehensive approach, examining the prehistory, history, and future of medicine and medical technology and its relation to information; how history led to such present-day discoveries as the structure of DNA, the human genome, and the discipline of bioinformatics; and what the future results of these discoveries may hold. Their far-ranging views are their own and not necessarily those of the IBM Corporation or other employers.
The Engines of Hippocrates helps readers understand:Forces shaping the pharmaceutical and biomedical industries today, including personalized medicine, genomics, data mining, and bionanotechnology
The relationship between pharmaceutical science today and other disciplines such as philosophy of health, history, economics, mathematics, and computer science
The integrated role alternative and non-Western medicines could play in a new, information-based medicine
Practical, ethical, organizational, technological, and social problems of information-based medicine, along with a novel data-centric computing model and a self-adaptive software engineering model, and corresponding information technology architectures, including perspectives on sharing remote data efficiently and securely for the common good
An unmatched, cross-disciplinary perspective on the big picture of today and tomorrow's medicine, The Engines of Hippocrates provides a reference to interested readers both inside and outside the pharmaceutical and medical communities, as well as a peerless classroom supplement to students in a wide variety of disciplines.
Author Sebastian Enfield had it all. A loving family, an up-and-coming career at a Fortune 500 company, good friends and an active social life. He was living the proverbial American dream. Until, that is, his life was sidetracked when he became addicted to painkillers. It all started with far-too-easy online purchases of narcotic pills, and eventually Sebastian “graduated” to heroin. As with most addicts, as his opiate habit developed his life began to unravel. Family, friends and career became less and less important. Maintaining his expensive addiction became the most important priority each day. But when a winter blizzard came one December and “his guy” stopped returning his phone calls, Sebastian knew another kind of storm was heading his way. Withdrawal. He suffered in bed for a few days before his dealer finally returned his calls and delivered the goods. But this was the final turning point. After all he had gone through, Sebastian knew things couldn’t continue like this. So he made arrangements to visit a Suboxone-prescribing doctor, and very shortly thereafter, he was finally on the long road to recovery.
But while being treated with Suboxone, Sebastian had some anxieties and a lot of questions. “How long should I really be on this stuff? Should I try to taper off or not? And if so, how do you do it so as to minimize any discomfort? What other things should I be doing to aid in my recovery?” He looked to the Internet for answers, but what he found was a lot of contradictory information, posts from people claiming that “this stuff is even worse than what I was on before!”, and even disagreement among doctors and other health professionals with regard to Suboxone treatment protocols. Sebastian suspected that if he found all this confusing, there were probably many others in the same boat.
And so, he set out to investigate all of this, and to write a book that explained his findings in clear and simple terms. Sebastian spoke with various doctors, Suboxone patients and therapists, and synthesized their views and opinions, along with his own experiences, into a book of tips and suggestions that would help doctors and patients best approach buprenorphine treatment.
Sebastian begins with his own compelling story, where he details the life journey that ultimately led to drug addiction. He then presents several suggestions and tips that cover a wide range of questions he knew Suboxone patients had. The book covers a variety of topics, such as how to best select a doctor, how to approach counseling (and whether you really need counseling), how to taper off the medication with minimal discomfort (and whether you even should taper off the medication), resources that may help with paying for treatment, and a variety of “lifestyle hacks” Sebastian found to be useful while being treated. Sebastian lays all of this out clearly, and provides a positive and motivating read that will help patients understand that treatment with buprenorphine need not be a scary and uncertain thing. On the contrary, it can be a constructive part of recovery from opiate addiction. As he put it, “This is the book I wish I had when I began buprenorphine treatment.”
The pharmaceutical industry today faces a deepening crisis: inefficiency in its core business, the development of new drugs. The Agile Approach to Adaptive Research offers a solution. It outlines how adaptive research, using already-available tools and techniques, can enable the industry to streamline clinical trials and reach decision points faster and more efficiently.
With a wealth of real-world cases and examples, author Michael Rosenberg gives readers a practical overview of drug development, the problems inherent in current practices, and the advantages of adaptive research technology and methods. He explains the concepts, principles, and specific techniques of adaptive research, and demonstrates why it is an essential evolutionary step toward improving drug research and development.
Chapters explore such subjects as:
The adaptive concept
Design and operational adaptations
Agile clinical development
Safety and dose finding
Statistics in adaptive research, including frequentist and Bayesian approaches
Data management technologies
The future of clinical development
By combining centuries-old intellectual foundations, recent technological advances, and modern management techniques, adaptive research preserves the integrity and validity of clinical research but dramatically improves efficiency.
Pharmaceutical applications of Raman spectroscopy have developed similarly and this book will focus on those applications. Carefully organized with an emphasis on industry issues, Pharmaceutical Applications of Raman Spectroscopy, provides the basic theory of Raman effect and instrumentation, and then addresses a wide range of pharmaceutical applications. Current applications that are routinely used as well as those with promising potential are covered. Applications cover a broad range from discovery to manufacturing in the pharmaceutical industry and include identifying polymorphs, monitoring real-time processes, imaging solid dosage formulations, imaging active pharmaceutical ingredients in cells, and diagnostics.
"The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types."—Bryn Williams-Jones, Associate Research Fellow, Pfizer
The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations.
Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including:
Serving as a user manual for collaborations
Tackling real problems from both human collaborative and data and informatics perspectives
Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader
A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.