The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry PDF full book. Access full book title The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry by Stephanie K. Ashenden. Download full books in PDF and EPUB format.
Author: Stephanie K. Ashenden
Publisher: Academic Press
ISBN: 0128204494
Category : Computers
Languages : en
Pages : 266
Get Book Here
Book Description
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
Author: Stephanie K. Ashenden
Publisher: Academic Press
ISBN: 0128204494
Category : Computers
Languages : en
Pages : 266
Get Book Here
Book Description
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
Author: Mullaicharam Bhupathyraaj
Publisher: CRC Press
ISBN: 1000994597
Category : Medical
Languages : en
Pages : 265
Get Book Here
Book Description
This cutting-edge reference book discusses the intervention of artificial intelligence in the fields of drug development, modified drug delivery systems, pharmaceutical technology, and medical devices development. This comprehensive book includes an overview of artificial intelligence in pharmaceutical sciences and applications in the drug discovery and development process. It discusses the role of machine learning in the automated detection and sorting of pharmaceutical formulations. It covers nanosafety and the role of artificial intelligence in predicting potential adverse biological effects. FEATURES Includes lucid, step-by-step instructions to apply artificial intelligence and machine learning in pharmaceutical sciences Explores the application of artificial intelligence in nanosafety and prediction of potential hazards Covers application of artificial intelligence in drug discovery and drug development Reviews the role of artificial intelligence in assessment of pharmaceutical formulations Provides artificial intelligence solutions for experts in the pharmaceutical and medical devices industries This book is meant for academicians, students, and industry experts in pharmaceutical sciences, medicine, and pharmacology.
Author: Nathan Brown
Publisher: Royal Society of Chemistry
ISBN: 1839160543
Category : Computers
Languages : en
Pages : 425
Get Book Here
Book Description
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.
Author: Daniel D. Lee
Publisher: SkyCuration
ISBN:
Category : Computers
Languages : en
Pages : 228
Get Book Here
Book Description
"AI Pharma: Artificial Intelligence in Drug Discovery and Development" is a comprehensive exploration of how artificial intelligence is reshaping the pharmaceutical industry. It reveals how machine learning, deep learning, and other advanced technologies are revolutionizing drug discovery and development. The book meticulously charts the evolution of AI's role, starting from the surge in data collection and processing to the latest breakthroughs in predictive modeling. It unveils AI's transformative impact on research and development, delving into how AI tools streamline target identification, molecule generation, and clinical trials, leading to faster, more accurate results. Key industry experts share insights on the challenges of navigating the vast amount of data produced, stressing the importance of data cleaning, curation, and ethical considerations in collection. Case studies highlight how startups and leading companies use AI algorithms for deep learning in drug development, identifying disease targets and generating new compounds with unprecedented precision. The book emphasizes practical applications, like predictive models for toxicity and safety in preclinical trials and patient recruitment optimization in clinical trials. Additionally, it tackles the intersection of AI with emerging technologies like the Internet of Medical Things (IoMT) and blockchain, showcasing how these complement AI in securing data and enhancing pharmaceutical supply chains. Readers will gain a deep understanding of the regulatory landscape, exploring FDA guidelines and global regulations that shape AI adoption. Interwoven throughout are the voices of thought leaders who address legal and ethical challenges, highlight the significance of partnerships, and stress the need for transparent and trustworthy AI models. They emphasize cross-disciplinary collaboration and tailored training strategies to cultivate AI talent that meets the growing needs of pharma. By examining the future of deep learning, computational research, and explainable AI, the book provides a strategic roadmap that researchers, policymakers, and developers can follow. Ultimately, this book is not only a roadmap but also a clarion call, urging stakeholders to build collaborative ecosystems that harness AI's potential for innovative pharmaceutical research and development. Through a rich, detailed narrative, readers are guided to understand the profound implications and exciting opportunities that await in this AI-driven pharmaceutical landscape
Author: Francesca Bradaschia
Publisher: GRIN Verlag
ISBN: 3346409376
Category : Computers
Languages : en
Pages : 10
Get Book Here
Book Description
Seminar paper from the year 2021 in the subject Computer Sciences - Artificial Intelligence, grade: 1,0, , language: English, abstract: During the past years, a continuously increasing number of corporations have decided to adopt Artificial Intelligence (AI) systems to improve their efficiency and reduce costs. This research paper aims to analyse the rise, applications, and developments of AI in the pharmaceutical and healthcare industry. Specifically, the employment of AI within the German multinational Bayer Pharmaceuticals is discussed, and further implementation suggestions are outlined. Furthermore, current opportunities, such as epidemic outbreak predictions and image recognition platforms for medication ingestion tracking, and challenges, for example legal issues and ethical challenges, are examined. The future role of AI systems in the pharmaceutical and healthcare industry can hardly be anticipated. Nevertheless, thus far these systems have represented a unique and tremendous asset within societies and companies, and it is most likely that in the course of time their role will be of always greater importance. Nowadays, organizations are defined by higher complexity, changing client demands, increased competition and adoption of new technologies. On the path towards an increased digitalization of economies and societies, the management of information and of knowledge, and the way people connect, collaborate and learn are drastically changing. As more and more possibilities for disruptive change are offered by digitalization, individuals and organizations need to redesign their leadership, innovation, knowledge processes and information practices.
Author: C. Venkatesh
Publisher: John Wiley & Sons
ISBN: 1119762049
Category : Computers
Languages : en
Pages : 311
Get Book Here
Book Description
SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges. The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc. Audience The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.
Author: Tantrajnana Vedike
Publisher: Independently Published
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
Get Book Here
Book Description
In the rapidly evolving landscape of pharmaceuticals, the advent of artificial intelligence (AI) has marked a transformative era, reshaping the way we understand and approach drug discovery, development, and delivery. "AI in Pharma" seeks to explore this groundbreaking shift, offering a comprehensive examination of how AI technologies are revolutionizing the pharmaceutical industry. The journey of integrating AI into pharma is not just a tale of technological advancement; it is a narrative of innovation that promises to redefine the future of medicine. From accelerating drug discovery and personalizing treatment regimens to optimizing clinical trials and improving patient outcomes, AI holds the potential to address some of the most pressing challenges in healthcare today. This book is born from a convergence of expertise in both the pharmaceutical sciences and artificial intelligence. We have meticulously curated insights from industry leaders, researchers, and practitioners to provide a multifaceted perspective on the ways AI is being harnessed in this critical field. Each chapter delves into specific applications of AI, offering a blend of theoretical frameworks and practical case studies that illuminate the real-world impact of these technologies. "AI in Pharma" is designed to be a valuable resource for a diverse audience. For industry professionals and researchers, it offers a deep dive into current AI applications and future trends, providing actionable insights and fostering a deeper understanding of how these technologies can be leveraged to drive innovation. For students and newcomers, it presents foundational knowledge and emerging opportunities in a rapidly growing field. And for policymakers and stakeholders, it highlights the implications of AI advancements and the need for thoughtful integration and regulation. As we embark on this exploration, we acknowledge the profound responsibility that comes with the integration of AI into healthcare. The promise of AI is accompanied by challenges and ethical considerations that must be navigated with care. Our hope is that this book not only informs but also inspires meaningful dialogue and collaborative efforts to harness AI's full potential while upholding the highest standards of safety, equity, and integrity. In this dynamic era of technological transformation, "AI in Pharma" serves as both a guide and a catalyst, encouraging readers to envision the future of pharmaceutical innovation through the lens of artificial intelligence. As we turn these pages, let us embrace the possibilities that AI offers and work together to shape a future where advanced technology and human ingenuity combine to deliver groundbreaking solutions in medicine. Welcome to a new chapter in pharmaceuticals-one that is powered by intelligence, innovation, and the relentless pursuit of better health for all.
Author: Grover, Veena
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 314
Get Book Here
Book Description
Healthcare and pharmaceuticals are rapidly advancing with technological innovations, and the lack of understanding of AI algorithms poses a significant challenge in these fields. The need for more transparency in AI decision-making processes raises concerns about accountability, ethical implications, and regulatory compliance. As stakeholders in these critical sectors seek clarity and understanding, Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry provides a reliable resource to discover new solutions. This book serves as a comprehensive guide, unraveling the complexities of explainable artificial intelligence (XAI) and its pivotal role in transforming healthcare and pharmaceutical practices. Demystifying AI algorithms and revealing their decision-making mechanisms equips readers with the foundational knowledge needed to confidently navigate AI integration in these domains. From healthcare professionals to policymakers, its insights cater to a diverse audience, fostering cross-disciplinary collaboration and facilitating informed decision-making.
Author: Anil K. Philip
Publisher: Academic Press
ISBN: 0323903738
Category : Computers
Languages : en
Pages : 644
Get Book Here
Book Description
A Handbook of Artificial Intelligence in Drug Delivery explores the use of Artificial Intelligence (AI) in drug delivery strategies. The book covers pharmaceutical AI and drug discovery challenges, Artificial Intelligence tools for drug research, AI enabled intelligent drug delivery systems and next generation novel therapeutics, broad utility of AI for designing novel micro/nanosystems for drug delivery, AI driven personalized medicine and Gene therapy, 3D Organ printing and tissue engineering, Advanced nanosystems based on AI principles (nanorobots, nanomachines), opportunities and challenges using artificial intelligence in ADME/Tox in drug development, commercialization and regulatory perspectives, ethics in AI, and more. This book will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry and bioinformatics. The massive time and costs investments in drug research and development necessitate application of more innovative techniques and smart strategies. - Focuses on the use of Artificial Intelligence in drug delivery strategies and future impacts - Provides insights into how artificial intelligence can be effectively used for the development of advanced drug delivery systems - Written by experts in the field of advanced drug delivery systems and digital health
Author: Yoshiki Oshida
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110717859
Category : Technology & Engineering
Languages : en
Pages : 520
Get Book Here
Book Description
The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.
