Generative AI in Drug Safety and Pharmacovigilance

Download Generative AI in Drug Safety and Pharmacovigilance PDF Online Free

Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (282 download)

DOWNLOAD NOW!


Book Synopsis Generative AI in Drug Safety and Pharmacovigilance by : Anand Vemula

Download or read book Generative AI in Drug Safety and Pharmacovigilance written by Anand Vemula and published by Independently Published. This book was released on 2024-06-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI in Drug Safety and Pharmacovigilance: A Comprehensive Guide" is a groundbreaking exploration into the integration of generative artificial intelligence (AI) within the realm of drug safety and pharmacovigilance. Authored by leading experts in the field, this book offers a thorough examination of the potential applications, ethical considerations, regulatory compliance, and future trends of employing generative AI technologies. The book begins with an insightful introduction to the foundational principles of generative AI, elucidating its significance in revolutionizing drug safety and pharmacovigilance practices. Readers are guided through the historical evolution of generative AI models, from basic concepts to advanced algorithms such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers. Subsequently, the text delves into real-world applications of generative AI in pharmacovigilance, including adverse event detection, predictive analytics, data augmentation, and natural language processing (NLP). Through captivating case studies and practical examples, readers gain a comprehensive understanding of how generative AI can enhance drug safety monitoring systems and facilitate early detection of adverse drug reactions. Ethical and regulatory considerations take center stage in the following chapters, as the authors navigate complex issues surrounding data privacy, security, and the ethical use of AI in healthcare. Readers are provided with invaluable insights into compliance with international standards and guidelines, ensuring adherence to regulatory frameworks set forth by governing bodies. As the book concludes, it offers a glimpse into the future of generative AI in drug safety and pharmacovigilance, exploring emerging technologies and innovative approaches poised to shape the landscape of healthcare. With a forward-thinking perspective, the authors anticipate advancements in explainable AI, blockchain integration, and wearable technology, paving the way for enhanced patient safety and personalized medicine. "Generative AI in Drug Safety and Pharmacovigilance: A Comprehensive Guide" serves as an indispensable resource for healthcare professionals, researchers, and policymakers seeking to harness the power of generative AI to safeguard public health and revolutionize the pharmaceutical industry. Through its lucid explanations, practical insights, and visionary outlook, the book empowers readers to navigate the intersection of artificial intelligence and healthcare with confidence and foresight.

Artificial Intelligence in Drug Discovery

Download Artificial Intelligence in Drug Discovery PDF Online Free

Author :
Publisher : Royal Society of Chemistry
ISBN 13 : 1839160543
Total Pages : 425 pages
Book Rating : 4.8/5 (391 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence in Drug Discovery by : Nathan Brown

Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays

Download Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3031355296
Total Pages : 2751 pages
Book Rating : 4.0/5 (313 download)

DOWNLOAD NOW!


Book Synopsis Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays by : Franz J. Hock

Download or read book Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays written by Franz J. Hock and published by Springer Nature. This book was released on 2025-02 with total page 2751 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many aspects of drug safety have become an outstanding and even persistent issue and may occur during the process of both drug discovery and development. Until 15 years ago, drug discovery and evaluation was primarily a sequential process starting with the selection of the most pharmacologically active compound from a series of newly synthesized small molecule chemical series by means of distinctive pharmacological assays. Safety aspects were addressed by evaluation of the selected compound at high doses in a series of specific studies directed at indications other than the intended indication of the new compound. These tests are then followed by pharmacokinetic studies, which are primarily conducted to confirm whether the selected compound possesses a suitable half-life for sufficient exposure and efficacy and, whether it has the desired properties specificity to the intended route of administration. Safety aspects relied predominantly on the conduct of single and repeat toxicologydose studies, which inform changes in organ structure rather than organ function. Both toxicological and pharmacokinetic studies are adapted to the progress of studies in clinical pharmacology and clinical trials. The new edition of this well and broadly accepted reference work contains several innovative and distinguished chapters. This "sequential" strategy has been abandoned with this new version of the book for several reasons: - Of the possible multitude of negative effects that novel drugs may impart on organ function, e.g. ventricular tachy-arrhythmia, many are detected too late in non-clinical studies to inform clinicians. On the other hand, negative findings in chronic toxicity studies in animals may turn out to be irrelevant for human beings. - New scientific approaches, e.g. high-throughput screening, human pluripotent stem cells, transgenic animals, knock-out animals, in silico models, pharmaco-genomics and pharmaco-proteomics, as well as Artificial Intelligence (AI) methods offered new possibilities. - There are several examples, that show that the "druggability" of compounds was considerably underestimated when the probability of success of a new project was assessed. The success rate in the pharmaceutical industry and the introduction of new chemical entities to the market per year dropped dramatically, whereas the development time for a new compound increased, sometimes exceeding the patent protection. Research and development scientists, involving the following changes, therefore adopted a change of strategy: - Parallel instead of sequential involvement of the various disciplines (multidimensional compound optimization). - The term "Safety Pharmacology" was coined. The International Conference on Harmonization (ICH) founded a Safety Pharmacology Working Group and the Safety Pharmacology Society (SPS) was launched. The discipline provided for evaluation, development and validation of a multitude of safety tests outlined in the 'Core Battery of Studies'. - Characterizing the exposure profile of a drug by conducting pharmacokinetic studies that evaluates the absorption, distribution, metabolism and excretion should to be investigated at an early stage of development as results contribute to the selection of a compound for further development. Advancements in Toxicology were achieved by the introduction of new methods, e.g., in silico methods, genetic toxicology, computational toxicology and AI. The book is a landmark in the continuously changing world of drug research and developments. As such, it is essential reading for many groups: not only for all students of pharmacology and toxicology but also for industry scientists and physicians, especially those involved in clinical trials of drugs, and for pharmacists who must know the safety requirements of drugs. The book is essential for scientists and managers in the pharmaceutical industry who are involved in drug discovery, drug development and decision making in the development process. In particular, the book will be of use to government institutions and committees working on official guidelines for drug evaluation worldwide.

The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry

Download The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0128204494
Total Pages : 266 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!


Book Synopsis The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry by : Stephanie K. Ashenden

Download or read book The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry written by Stephanie K. Ashenden and published by Academic Press. This book was released on 2021-04-23 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient's life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics. - Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research - Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved - Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide

AI for Drug Development and Well-being

Download AI for Drug Development and Well-being PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 134 pages
Book Rating : 4.6/5 (845 download)

DOWNLOAD NOW!


Book Synopsis AI for Drug Development and Well-being by : Mark Chang

Download or read book AI for Drug Development and Well-being written by Mark Chang and published by . This book was released on 2020-09-09 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is transforming the practice of medicine. It is helping doctors diagnose patients more accurately, predict treatment effects on individuals, and recommend better treatments. AI is also transforming the drug discovery and development process, helping pharmaceutical researchers to identify and design active drug candidates, and reducing the cost of the clinical testing phase. Recently, the FDA moved toward a new, tailored review framework for artificial intelligence-based medical devices (Gottlieb, April 2019).This book is intended for a broad readership: sufficiently straightforward for college freshmen and informative enough for researchers. Chapter 1 gives a gentle introduction to the five ML categories of learning: supervised, unsupervised, reinforcement, evolutionary and swarm intelligence. Chapters 2 through 6 discuss the key concepts of the main methods in each of the five AI categories and their applications in pharmaceutical research & development and healthcare. Chapter 7 provides a state-of-the-art review of AI applications in prescription drug discovery, development, pharmacovigilance, and healthcare. Chapter 8 discusses artificial general intelligence and its controversies, challenges, and likely future directions. A few equations are included to effectively deliver key concepts and 100 key references are cited to meet researchers' needs. The book is a simplified version of my previous book: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare. Readers who want to get hands on experiences may explore the book with computer code in R.

Clinical Pharmacy Education, Practice and Research

Download Clinical Pharmacy Education, Practice and Research PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0128142774
Total Pages : 542 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!


Book Synopsis Clinical Pharmacy Education, Practice and Research by : Dixon Thomas

Download or read book Clinical Pharmacy Education, Practice and Research written by Dixon Thomas and published by Elsevier. This book was released on 2018-11-23 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Pharmacy Education, Practice and Research offers readers a solid foundation in clinical pharmacy and related sciences through contributions by 83 leading experts in the field from 25 countries. This book stresses educational approaches that empower pharmacists with patient care and research competencies. The learning objectives and writing style of the book focus on clarifying the concepts comprehensively for a pharmacist, from regular patient counseling to pharmacogenomics practice. It covers all interesting topics a pharmacist should know. This book serves as a basis to standardize and coordinate learning to practice, explaining basics and using self-learning strategies through online resources or other advanced texts. With an educational approach, it guides pharmacy students and pharmacists to learn quickly and apply. Clinical Pharmacy Education, Practice and Research provides an essential foundation for pharmacy students and pharmacists globally. - Covers the core information needed for pharmacy practice courses - Includes multiple case studies and practical situations with 70% focused on practical clinical pharmacology knowledge - Designed for educational settings, but also useful as a refresher for advanced students and researchers

Artificial Intelligence in Medicine

Download Artificial Intelligence in Medicine PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 9783030645724
Total Pages : 1816 pages
Book Rating : 4.6/5 (457 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence in Medicine by : Niklas Lidströmer

Download or read book Artificial Intelligence in Medicine written by Niklas Lidströmer and published by Springer. This book was released on 2022-03-17 with total page 1816 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting. Artificial Intelligence in Medicine aims to give readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence.

Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment

Download Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0128016337
Total Pages : 494 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!


Book Synopsis Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment by : Kunal Roy

Download or read book Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment written by Kunal Roy and published by Academic Press. This book was released on 2015-03-03 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment describes the historical evolution of quantitative structure-activity relationship (QSAR) approaches and their fundamental principles. This book includes clear, introductory coverage of the statistical methods applied in QSAR and new QSAR techniques, such as HQSAR and G-QSAR. Containing real-world examples that illustrate important methodologies, this book identifies QSAR as a valuable tool for many different applications, including drug discovery, predictive toxicology and risk assessment. Written in a straightforward and engaging manner, this is the ideal resource for all those looking for general and practical knowledge of QSAR methods. - Includes numerous practical examples related to QSAR methods and applications - Follows the Organization for Economic Co-operation and Development principles for QSAR model development - Discusses related techniques such as structure-based design and the combination of structure- and ligand-based design tools

The Reasonable Robot

Download The Reasonable Robot PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 1108472125
Total Pages : 165 pages
Book Rating : 4.1/5 (84 download)

DOWNLOAD NOW!


Book Synopsis The Reasonable Robot by : Ryan Abbott

Download or read book The Reasonable Robot written by Ryan Abbott and published by Cambridge University Press. This book was released on 2020-06-25 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.

Human Compatible

Download Human Compatible PDF Online Free

Author :
Publisher : Penguin Books
ISBN 13 : 0525558616
Total Pages : 354 pages
Book Rating : 4.5/5 (255 download)

DOWNLOAD NOW!


Book Synopsis Human Compatible by : Stuart Jonathan Russell

Download or read book Human Compatible written by Stuart Jonathan Russell and published by Penguin Books. This book was released on 2019 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.

Artificial Intelligence in Medicine

Download Artificial Intelligence in Medicine PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 303021642X
Total Pages : 431 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence in Medicine by : David Riaño

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Artificial Intelligence in Behavioral and Mental Health Care

Download Artificial Intelligence in Behavioral and Mental Health Care PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0128007923
Total Pages : 309 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence in Behavioral and Mental Health Care by : David D. Luxton

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings

Impacts of Generative AI on the Future of Research and Education

Download Impacts of Generative AI on the Future of Research and Education PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 622 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!


Book Synopsis Impacts of Generative AI on the Future of Research and Education by : Mutawa, Abdullah

Download or read book Impacts of Generative AI on the Future of Research and Education written by Mutawa, Abdullah and published by IGI Global. This book was released on 2024-10-09 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI), particularly Generative Pretrained Transformer (GPT) models, has become one of the most influential and transformative technologies of the 21st century. They have shown immense potential to revolutionize research and education by enabling more efficient data analysis, generating high-quality content, and facilitating personalized learning experiences. As AI continues to evolve, its integration into these fields promises to enhance productivity, foster innovation, and democratize access to knowledge on a global scale. Impacts of Generative AI on the Future of Research and Education provides an in-depth understanding of the implication of AI and GPT in the context of research and education. It comprehensively analyzes the potential, challenges, and ethical considerations of AI integration in these sectors. Covering topics such as academic integrity, ethics, and special education, this book is an excellent resource for educators, researchers, academicians, policymakers, administrators, and more.

Symptoms in the Pharmacy

Download Symptoms in the Pharmacy PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 111859844X
Total Pages : 394 pages
Book Rating : 4.1/5 (185 download)

DOWNLOAD NOW!


Book Synopsis Symptoms in the Pharmacy by : Alison Blenkinsopp

Download or read book Symptoms in the Pharmacy written by Alison Blenkinsopp and published by John Wiley & Sons. This book was released on 2013-03-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and evidence-based guide for student, pre-registration and qualified pharmacists Symptoms in the Pharmacy is an indispensable guide to the management of common symptoms seen in the pharmacy. With advice from an author team that includes both pharmacists and GPs, the book covers ailments which will be encountered in the pharmacy on a daily basis. Now in its sixth edition Symptoms in the Pharmacy has been fully revised to reflect the latest evidence and availability of new medicines. There are new sections and case studies for 'POM' to 'P' switches including chloramphenicol, sumatriptan, diclofenac, naproxen and amorolfine. This edition features colour photographs of skin conditions for the first time enabling the differentiation and diagnosis of common complaints. The public health and illness prevention content have been expanded to support this increasingly important aspect of the pharmacist’s work. The book is designed for quick and easy reference with separate chapters for each ailment. Each chapter incorporates a decision making framework in which the information necessary for treatment and suggestions on ‘when to refer’ is distilled into helpful summary boxes. At the end of each chapter there are example case studies providing the view of pharmacists, doctors and patients for most conditions covered. These easy-to-follow- chapters can be read cover to cover or turned to for quick reference. This useful guide should be kept close at hand for frequent consultation.

Artificial Intelligence in Drug Design

Download Artificial Intelligence in Drug Design PDF Online Free

Author :
Publisher : Humana
ISBN 13 : 9781071617892
Total Pages : 0 pages
Book Rating : 4.6/5 (178 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence in Drug Design by : Alexander Heifetz

Download or read book Artificial Intelligence in Drug Design written by Alexander Heifetz and published by Humana. This book was released on 2022-11-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and unique, Artificial Intelligence in Drug Design is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists and drug designers.

Artificial Intelligence and Machine Learning in Healthcare

Download Artificial Intelligence and Machine Learning in Healthcare PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 9811608113
Total Pages : 228 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence and Machine Learning in Healthcare by : Ankur Saxena

Download or read book Artificial Intelligence and Machine Learning in Healthcare written by Ankur Saxena and published by Springer Nature. This book was released on 2021-05-06 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.

Basic Principles of Drug Discovery and Development

Download Basic Principles of Drug Discovery and Development PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0128172150
Total Pages : 738 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!


Book Synopsis Basic Principles of Drug Discovery and Development by : Benjamin E. Blass

Download or read book Basic Principles of Drug Discovery and Development written by Benjamin E. Blass and published by Academic Press. This book was released on 2021-03-30 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Principles of Drug Discovery and Development presents the multifaceted process of identifying a new drug in the modern era, which requires a multidisciplinary team approach with input from medicinal chemists, biologists, pharmacologists, drug metabolism experts, toxicologists, clinicians, and a host of experts from numerous additional fields. Enabling technologies such as high throughput screening, structure-based drug design, molecular modeling, pharmaceutical profiling, and translational medicine are critical to the successful development of marketable therapeutics. Given the wide range of disciplines and techniques that are required for cutting edge drug discovery and development, a scientist must master their own fields as well as have a fundamental understanding of their collaborator's fields. This book bridges the knowledge gaps that invariably lead to communication issues in a new scientist's early career, providing a fundamental understanding of the various techniques and disciplines required for the multifaceted endeavor of drug research and development. It provides students, new industrial scientists, and academics with a basic understanding of the drug discovery and development process. The fully updated text provides an excellent overview of the process and includes chapters on important drug targets by class, in vitro screening methods, medicinal chemistry strategies in drug design, principles of in vivo pharmacokinetics and pharmacodynamics, animal models of disease states, clinical trial basics, and selected business aspects of the drug discovery process. - Provides a clear explanation of how the pharmaceutical industry works, as well as the complete drug discovery and development process, from obtaining a lead, to testing the bioactivity, to producing the drug, and protecting the intellectual property - Includes a new chapter on the discovery and development of biologics (antibodies proteins, antibody/receptor complexes, antibody drug conjugates), a growing and important area of the pharmaceutical industry landscape - Features a new section on formulations, including a discussion of IV formulations suitable for human clinical trials, as well as the application of nanotechnology and the use of transdermal patch technology for drug delivery - Updated chapter with new case studies includes additional modern examples of drug discovery through high through-put screening, fragment-based drug design, and computational chemistry