Ai For Drug Development And Well Being

Download Ai For Drug Development And Well Being full books in PDF, epub, and Kindle. Read online Ai For Drug Development And Well Being ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

AI for Drug Development and Well-being

Author : Mark Chang
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.

Artificial Intelligence in Drug Discovery

Author : Nathan Brown
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.

Artificial Intelligence and Machine Learning in Drug Design and Development

Author : Abhirup Khanna
Publisher : John Wiley & Sons
ISBN 13 : 1394234171
Total Pages : 737 pages
Book Rating : 4.3/5 (942 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Machine Learning in Drug Design and Development by : Abhirup Khanna

Download or read book Artificial Intelligence and Machine Learning in Drug Design and Development written by Abhirup Khanna and published by John Wiley & Sons. This book was released on 2024-06-21 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Artificial Intelligence in Drug Development

Author : Kavita Sharma
Publisher : Springer Nature
ISBN 13 : 9819729548
Total Pages : 159 pages
Book Rating : 4.8/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Drug Development by : Kavita Sharma

Download or read book Artificial Intelligence in Drug Development written by Kavita Sharma and published by Springer Nature. This book was released on with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Oncology Drug Discovery and Development

Author : John Cassidy
Publisher : BoD – Books on Demand
ISBN 13 : 1789846897
Total Pages : 194 pages
Book Rating : 4.7/5 (898 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Oncology Drug Discovery and Development by : John Cassidy

Download or read book Artificial Intelligence in Oncology Drug Discovery and Development written by John Cassidy and published by BoD – Books on Demand. This book was released on 2020-09-09 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.

Benefits and risks of using artificial intelligence for pharmaceutical development and delivery

Author : World Health Organization
Publisher : World Health Organization
ISBN 13 : 9240088105
Total Pages : 46 pages
Book Rating : 4.2/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Benefits and risks of using artificial intelligence for pharmaceutical development and delivery by : World Health Organization

Download or read book Benefits and risks of using artificial intelligence for pharmaceutical development and delivery written by World Health Organization and published by World Health Organization. This book was released on 2024-03-25 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: WHO recognizes that artificial intelligence (AI) holds great promise for pharmaceutical development and delivery. However, AI also presents risks and ethical challenges that must be addressed if societies, health systems and individuals are to fully reap its benefits. This discussion paper examines the expanding application of AI to each step of development and deployment of medicines and vaccines. AI is already used in most steps of pharmaceutical development, and, in the future, it is likely that nearly all pharmaceutical products that come to market will have been “touched” by AI at some point in their development, approval or marketing. Although these uses of AI may have a commercial benefit, it is imperative that use of AI also has public health benefit and appropriate governance.

AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference

Author : Ramin Homayouni
Publisher : Frontiers Media SA
ISBN 13 : 2832518915
Total Pages : 116 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference by : Ramin Homayouni

Download or read book AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference written by Ramin Homayouni and published by Frontiers Media SA. This book was released on 2023-03-27 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

Author : Stephanie K. Ashenden
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

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Author : Mark Chang
Publisher : CRC Press
ISBN 13 : 1000767302
Total Pages : 235 pages
Book Rating : 4.0/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare by : Mark Chang

Download or read book Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare written by Mark Chang and published by CRC Press. This book was released on 2020-05-12 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

AI in Healthcare

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 91 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis AI in Healthcare by : StoryBuddiesPlay

Download or read book AI in Healthcare written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-05 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying AI in Healthcare: A Comprehensive Look at the Future of Medicine Artificial intelligence (AI) is rapidly transforming the healthcare landscape, holding immense potential to revolutionize how we diagnose, treat, and prevent diseases. This comprehensive guide explores the multifaceted impact of AI in healthcare, delving into its applications, societal influence, and the exciting possibilities it presents for a healthier future. Revolutionizing Diagnosis and Treatment: Enhanced Accuracy: AI algorithms can analyze vast amounts of medical data, including images, genetic information, and patient records, to identify patterns and correlations that might escape human specialists. This leads to more accurate diagnoses, earlier disease detection, and ultimately, better treatment outcomes. Personalized Medicine: AI paves the way for a more personalized approach to healthcare. By analyzing an individual's unique genetic makeup and medical history, AI can tailor treatment plans and preventative measures to their specific needs. Empowering Healthcare Professionals: AI acts as a valuable tool for doctors, nurses, and other healthcare professionals. It automates repetitive tasks, frees up time for patient interaction, and provides real-time insights to support clinical decision-making. Optimizing Healthcare Operations and Efficiency: Streamlined Administration: AI automates tedious administrative tasks such as appointment scheduling, insurance claim processing, and report generation. This reduces healthcare costs, improves operational efficiency, and allows staff to focus on patient care. Improved Resource Allocation: AI can analyze healthcare data to identify areas with high disease burdens and optimize resource allocation for targeted interventions. This leads to a more efficient healthcare system and improved public health outcomes. Remote Patient Monitoring: AI-powered wearable devices and sensors can continuously monitor patients' health status remotely. This allows for early detection of potential issues and timely intervention, particularly for individuals with chronic conditions. Shaping the Future of Healthcare Delivery: Predictive Analytics: AI can analyze vast datasets to identify individuals at high risk of developing certain diseases. This enables preventative measures and early intervention, potentially leading to better health outcomes and reduced healthcare costs. Public Health Transformation: AI plays a crucial role in improving public health on a global scale. It facilitates disease outbreak detection, resource allocation optimization, and knowledge sharing across borders, leading to more effective public health strategies. AI-powered Wellness Coaching: AI can provide personalized coaching and support for individuals seeking to improve their overall health and well-being. This empowers individuals to take a more active role in managing their health. Ethical Considerations and the Road Ahead: While AI offers immense benefits, ethical considerations need to be addressed. Robust data privacy measures, transparent AI development, and ensuring equitable access to AI-powered healthcare for all are crucial. By fostering collaboration between stakeholders, embracing responsible AI development, and prioritizing patient well-being, we can ensure AI becomes a force for positive change in healthcare. Embrace the Future of Healthcare with AI: AI is not a replacement for human expertise, but rather a powerful tool that can augment the skills and knowledge of healthcare professionals. As AI continues to evolve, it has the potential to transform healthcare delivery, improve public health outcomes, and empower individuals to take charge of their own health and well-being. This guide provides a starting point for your exploration of AI in healthcare. Let's work together to ensure this technology is used responsibly and ethically to create a healthier future for all.

A Handbook of Artificial Intelligence in Drug Delivery

Author : Anil K. Philip
Publisher : Academic Press
ISBN 13 : 0323903738
Total Pages : 644 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis A Handbook of Artificial Intelligence in Drug Delivery by : Anil K. Philip

Download or read book A Handbook of Artificial Intelligence in Drug Delivery written by Anil K. Philip and published by Academic Press. This book was released on 2023-03-27 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Artificial Intelligence for Medicine

Author : Yoshiki Oshida
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110717859
Total Pages : 520 pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Medicine by : Yoshiki Oshida

Download or read book Artificial Intelligence for Medicine written by Yoshiki Oshida and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-10-11 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry

Author : Grover, Veena
Publisher : IGI Global
ISBN 13 :
Total Pages : 314 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry by : Grover, Veena

Download or read book Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry written by Grover, Veena and published by IGI Global. This book was released on 2024-06-05 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence for Health 4.0: Challenges and Applications

Author : Rishabha Malviya
Publisher : CRC Press
ISBN 13 : 1000847020
Total Pages : 420 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Health 4.0: Challenges and Applications by : Rishabha Malviya

Download or read book Artificial Intelligence for Health 4.0: Challenges and Applications written by Rishabha Malviya and published by CRC Press. This book was released on 2023-03-10 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.

Algorithms and Cures: AI Applied to the Pharmaceutical Industry

Author : Enrico Guardelli
Publisher : MedTechBiz
ISBN 13 :
Total Pages : 112 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Algorithms and Cures: AI Applied to the Pharmaceutical Industry by : Enrico Guardelli

Download or read book Algorithms and Cures: AI Applied to the Pharmaceutical Industry written by Enrico Guardelli and published by MedTechBiz. This book was released on 2024-07-19 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, drug research and development has faced increasing pressure to improve efficiency and reduce costs. AI is introducing new tools to accelerate drug discovery, optimize manufacturing processes, improve supply chain management, and ensure drug safety. This book explores these possibilities, providing a comprehensive overview of how AI is being used to address complex challenges in the pharmaceutical industry. From initial drug discovery to final patient delivery, AI is transforming the entire pharmaceutical product lifecycle.

Artificial Intelligence for Drug Product Lifecycle Applications

Author : Alberto Pais
Publisher : Elsevier
ISBN 13 : 0323972519
Total Pages : 298 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Drug Product Lifecycle Applications by : Alberto Pais

Download or read book Artificial Intelligence for Drug Product Lifecycle Applications written by Alberto Pais and published by Elsevier. This book was released on 2024-09-20 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Drug Product Lifecycle Applications explains the use of artificial intelligence (AI) in drug discovery and development paths, including the clinical and postapproval phases. This book gives methods for each of the drug development steps, from the fundamentals to postapproval drug product. AI is a synergistic assembly of enhanced optimization strategies with particular applications in pharmaceutical development and advanced tools for promoting cost-effectiveness throughout the drug lifecycle. Specifically, AI brings together the potential to improve drug approval rates, reduce development costs, get medications to patients faster, and help patients comply with their treatments. Accelerated pharmaceutical development and drug product approval rates will enable larger profits from patent-protected market exclusivity. This book offers the tools and knowledge to create the right AI strategy to extend the landscape of AI applications across the drug lifecycle. It is especially useful for pharmaceutical scientists, health care professionals, and regulatory scientists, as well as advanced students and postgraduates actively involved in pharmaceutical product and process development involving the use of artificial intelligence in drug delivery applications. Classifies AI methodologies and application examples into different categories representing the various steps of the drug development cycle Combines timely literature review with clear artworks to improve understanding Examines deep learning and machine learning in drug discovery