A Handbook Of Artificial Intelligence In Drug Delivery
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A Handbook Of Artificial Intelligence In Drug Delivery
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Author : Anil K. Philip
language : en
Publisher: Academic Press
Release Date : 2023-03-27
A Handbook Of Artificial Intelligence In Drug Delivery written by Anil K. Philip and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-27 with Computers categories.
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 And Machine Learning In Drug Design And Development
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Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21
Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.
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.
Ai Innovations In Drug Delivery And Pharmaceutical Sciences Advancing Therapy Through Technology
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Author : Kuldeep Vinchurkar
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-11-18
Ai Innovations In Drug Delivery And Pharmaceutical Sciences Advancing Therapy Through Technology written by Kuldeep Vinchurkar and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-18 with Technology & Engineering categories.
AI Innovations in Drug Delivery and Pharmaceutical Sciences: Advancing Therapy through Technology offers a comprehensive exploration of how artificial intelligence (AI) is revolutionizing the pharmaceutical and healthcare sectors. This book addresses the AI’s role in drug discovery, development, and delivery, highlighting applications in personalized medicine, nanotechnology, and clinical trials. It also covers AI’s impact on community and hospital pharmacy, herbal medicine, and drug product design. Each chapter examines the use of AI in optimizing drug processes, from designing innovative therapies to improving regulatory compliance and future trends in pharmaceutical technology. This insightful resource is invaluable for researchers, pharmaceutical professionals, and healthcare innovators aiming to advance therapeutic outcomes through AI. Key Features: - Comprehensive coverage of AI applications in drug discovery, delivery, and design. - Insights into AI-driven personalized medicine and nanotechnology. - Regulatory perspectives on AI in drug delivery and medical devices. - Future trends and innovations in AI for pharmaceutical technology.
Challenges In Information Communication And Computing Technology
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Author : V. Sharmila
language : en
Publisher: CRC Press
Release Date : 2024-12-10
Challenges In Information Communication And Computing Technology written by V. Sharmila and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Technology & Engineering categories.
This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing. Through in-depth analysis and expert perspectives, this volume aims to shed light on the complexities of ICCT and offer innovative solutions for researchers, practitioners, and students. Building on its exploration of challenges in ICCT, this book delves into several core areas. These include the development and deployment of secure and efficient communication networks, the ethical implications and technical hurdles of artificial intelligence and machine learning, and the promise and complexity of quantum computing. The book also addresses the management of big data, highlighting both its potential and the challenges of ensuring data privacy and security. Additionally, it examines the role of sustainability in computing, advocating for greener technologies and practices. The findings presented in this volume emphasize the need for interdisciplinary approaches and innovative thinking to address these challenges, offering insights that are both practical and forward-looking. This book is intended for a diverse audience that includes researchers, practitioners, and students in the fields of Information, Communication, and Computing Technology (ICCT). It is particularly valuable for academics and professionals seeking to deepen their understanding of current challenges and emerging trends in these areas. Additionally, policymakers, industry leaders, and technologists will find the book's insights useful for informing decisions and strategies in the development and implementation of advanced technologies. Whether you are a seasoned expert or a newcomer to the field, this book provides valuable perspectives that can enhance your knowledge and contribute to your work in ICCT. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
Revolutionizing Drug Discovery Cutting Edge Computational Techniques
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Author :
language : en
Publisher: Academic Press
Release Date : 2025-04-03
Revolutionizing Drug Discovery Cutting Edge Computational Techniques written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Medical categories.
Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques, Volume 103 is an essential guide for professionals, researchers, and students in the pharmaceutical and biotech industries, providing an in-depth look at how computational methods transform drug development. Chapters in this new release include Innovative Computational Approaches in Drug Discovery and Design, Advanced Molecular Modeling of Proteins: Methods, Breakthroughs, and Future Prospects, Predictive Cavity and Binding Site Identification: Techniques and Applications, ADMET Tools in the Digital Era: Applications and Limitations, Essential Database Resources for Modern Drug Discovery, Deep Learning for Drug Design and Development, and much more.Other sections cover Molecular Docking and Structure-Based Drug Design: From Theory to Practice, Molecular Dynamics Simulations: Insights into Protein and Protein-Ligand Interactions, Targeting Disease: Computational Approaches for Drug Target Identification, High-throughput computational Screening for Lead Discovery and Development, Harnessing Machine Learning for Rational Drug Design, Identifying Novel Drug Targets with Computational Precision, Computational Exploration of Viral Cell Membrane Structures for Identifying Novel Therapeutic Target, and many more interesting topics. - Offers expert insights from leading authorities on computational techniques in drug discovery, ensuring readers gain accurate, cutting-edge knowledge - Includes illustrative graphics and case studies to enhance comprehension and engagement for readers across disciplines - Provides forward-looking perspectives on the role of computational methods in drug development, highlighting both current advancements and future trends
The Neurodegeneration Revolution
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Author : Trideva Sastri Koduru
language : en
Publisher: Elsevier
Release Date : 2024-11-19
The Neurodegeneration Revolution written by Trideva Sastri Koduru and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Psychology categories.
The Neurodegeneration Revolution: Emerging Therapies and Sustainable Solutions provides insights into the mechanics, characteristics, behavior, application, and manufacturing of advanced materials such as nanowires, 2D materials, biomaterials, smart materials, and more. The first section discusses the mechanics and electronic and magnetic properties of nanomaterials, photonic, and photonic materials and devices, 2D magnetic materials, smart materials and coatings, metamaterials, and microdevices and sensors. The second section of the book covers manufacturing technologies and methods of previously discussed materials, outlining manufacturing techniques for additive manufacturing of metallic lattice structures, biomedical alloys, shape memory alloys, multifunctional polymer composites, nanocomposite structures, ceramics, and batteries. - Explores emerging therapies such as gene therapy, stem cell therapy, and nanoparticle-mediated drug delivery, as well as sustainable green nanotechnology - Offers practical guidance for healthcare professionals and caregivers on how to effectively manage neurodegenerative diseases - Explores the application of Artificial Intelligence and Machine Learning in the treatment of neurodegenerative diseases
Digital Blockchain
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Author : Rishabha Malviya
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-04-21
Digital Blockchain written by Rishabha Malviya and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Computers categories.
"Digital Blockchain- Big Data, Artificial Intelligence and Virtual Reality in Healthcare Ecosystem" is a book that explores the revolutionary impact of blockchain, big data, and artificial intelligence (AI) on the pharmaceutical and healthcare sectors. The book discusses AI, big data, and their applications in drug research, clinical trials, regulatory compliance, and post-marketing surveillance. The book also discusses education and training in smart pharma, demonstrating the potential of AI, big data, and machine learning to improve workforce capacities. The book discusses intellectual property and data privacy issues, the legislative framework for AI adoption, ethical considerations, and future trends in AI-enabled drug research, manufacturing, and healthcare innovation. It is a valuable resource for healthcare professionals, industrial experts, and academicians, offering theoretical and practical insights.
Concepts In Pharmaceutical Biotechnology And Drug Development
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Author : Sankhadip Bose
language : en
Publisher: Springer Nature
Release Date : 2024-05-20
Concepts In Pharmaceutical Biotechnology And Drug Development written by Sankhadip Bose and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-20 with Medical categories.
This book provides comprehensive coverage of the development of new pharmaceuticals and the enhancement of existing ones. It offers a comprehensive understanding of pharmaceutical biotechnology, including its underlying principles and practical applications from an industrial standpoint. While introducing the roles and applications of biotechnology in drug design and development, the book describes how developments in other fields, like genomics, proteomics, and high-throughput screening, have facilitated the discovery of novel therapeutic targets and drug development methods. It included concepts that are essential to biotechnology and apply to protein therapies. The book provides a thorough overview of the ways in which biotechnology influences drug development, production, and regulation, and is a valuable resource for those seeking to enhance their understanding in this area. This book is designed to support educators in their teaching efforts and offers a reader-friendly exploration of the various stages involved in developing new pharmaceuticals through biotechnology. This book is a valuable resource for individuals in various academic and professional careers, including undergraduates, graduates, pharmaceutical scientists, clinicians, and academic researchers. It provides convenient access to current practices in pharmaceutical biotechnology, making it particularly useful for those working in the interdisciplinary field of biochemistry, pharmacology, biopharmaceutics, and biotechnology. This book's concise and impartial content structure may also benefit corporate researchers.
Using Traditional Design Methods To Enhance Ai Driven Decision Making
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Author : Nguyen, Tien V. T.
language : en
Publisher: IGI Global
Release Date : 2024-01-10
Using Traditional Design Methods To Enhance Ai Driven Decision Making written by Nguyen, Tien V. T. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Computers categories.
In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
Proceedings Of 5th International Conference On Artificial Intelligence And Smart Energy
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Author : S. Manoharan
language : en
Publisher: Springer Nature
Release Date : 2025-05-19
Proceedings Of 5th International Conference On Artificial Intelligence And Smart Energy written by S. Manoharan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Computers categories.
This book discusses the latest developments in computing techniques that power smart energy and sustainable solutions. Over the last few years, artificial intelligence (AI) has been more deeply embedded in our lives, revolutionizing industries and communication. Intelligent computing models are now transforming traditional energy applications in this digital age through smart automation, optimization, and adaptation. The book addresses major facets of intelligent computing and communication technologies, such as intelligent data analysis, predictive modeling, optimization, neural networks, AI, machine learning, deep learning, and the Internet of Things (IoT). All these technologies are discussed in practical applications, e.g., smart cities and smart industries, their transformative possibilities.