A Handbook of Artificial Intelligence in Drug Delivery, First Edition
- 13h 37m
- Aliasgar Shahiwala, Anil K. Philip, Mamoon Rashid, Md Faiyazuddin
- Elsevier Science and Technology Books, Inc.
- 2023
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
About the Author
Dr. Anil Philip is currently working as Associate Dean (Head), School of Pharmacy, University of Nizwa, Oman. Among other credentials, he served as a member of the Health and Social Sciences sectorial grant committee of The Research Council, Oman, and as Faculty Mentored Undergraduate Research Program general supervisor to promote undergraduate research at the University of Nizwa. His research objectives and achievements have been in controlling/modifying the release of small/large molecules targeted to GI space using phase-transited delivery systems. He has worked extensively in the field of controlled/ modified drug release systems. Currently, his research focuses on developing nano-drug delivery systems, which can be targeted to the various body organs. He has guided students in areas of targeted drug delivery, has more than 40 original research publications in international peer-reviewed journals, and two patents on drug delivery systems.
Dr. Aliasgar Shahiwala is currently serving as a Professor in the Department of Pharmaceutics, and Graduate Program Director, at Dubai Pharmacy College, Dubai, UAE. He received his MA and PhD in pharmaceutics and pharmaceutical technology from the Maharaja Sayajirao University of Baroda, India, with a particular research focus on the area of novel drug delivery. His postdoctoral research at Northeastern University, USA, centered on applications of nanotechnology in the field of drug delivery and drug targeting. With more than 20 years of teaching and research experience, Prof. Shahiwala has published several articles in international peer-reviewed journals, edited 4 books, and authored many book chapters, as well as being an active reviewer and editorial board member.
Dr. Mamoon Rashid serves the college as Assistant Professor of Pharmaceutics at Appalachian College of Pharmacy, Oakwood, Virginia, USA. After finishing his PhD in Pharmaceutical Sciences from Texas Tech University Health Sciences Center, he joined the Appalachian College of Pharmacy in October 2013. His doctoral research work discovered that the endopeptidase neurolysin is associated to stroke pathology, and remains a potential consideration for developing therapeutics. Recently, Dr. Rashid has contributed two chapters for a book on Bioinspired and Biomimetic Materials for Drug Delivery (Woodhead, Oct 2016). Dr. Rashid’s research interest includes both drug delivery and molecular biology. His current projects included development of transdermal drug delivery and stability of marketed drug products and development of analytical method of different products compounded in local pharmacies.
MD. Faiyazuddin is a professor of pharmaceutics at Al-Karim University, in India. He is a renowned academician, edupreuneur, & researcher with over 16 years of rich experience in the field of Pharmaceutical Nanotechnology and Drug Delivery. He presently works as Global Business Director at Nano Drug Delivery® North Carolina USA, serving as the Head of Asia region. Dr Faiyazuddin is a Fellow Member of the George Washington University of Peace USA, and the Founder President of International Pharmaceutical Forum. He is an associate member of the Institute of Nanotechnology, Sterling University, Scotland, British Society of Nanomedicine, the University of Liverpool, International Society of Aerosol in Medicine and American Lung Association, Chicago.
In this Book
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An Overview of Artificial Intelligence in Drug Development
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General Considerations on Artificial Intelligence
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Role of Artificial Intelligence in Quality Profiling and Optimization of Drug Products
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AI Applications for Multivariate Control in Drug Manufacturing
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AI Approaches for the Development of Drug Delivery Systems
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Artificial Neural Network (ANN) in Drug Delivery
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Relevance of AI in Microbased Drug Delivery System
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Application of Artificial Intelligence Driving Nano-Based Drug Delivery System
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AI in Microfabrication Technology
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Tracing the Nose-To-Brain Nanoparticulate Drug Delivery Using Bio/Chemoinformatics Tools
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Applicability of Machine Learning in Three-Dimensionally (3D) Printed Dosage Forms
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Role of AI in ADME/Tox toward Formulation Optimization and Delivery
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Recent Advances in Self-Regulated Drug Delivery Devices
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Design and Control of Nanorobots and Nanomachines in Drug Delivery and Diagnosis
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Artificial Intelligence (AI) in Drug Product Designing, Development, and Manufacturing
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Impact of AI on Drug Delivery and Pharmacokinetics: The Present Scenario and Future Prospects
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Artificial Intelligence in Vaccine Development: Significance and Challenges Ahead
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AI-enabled Quadrupole Stimuli-Responsive Targeted Polymeric Nanodrug Delivery for Cancer Therapy
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Convergence of Artificial Intelligence and Nanotechnology in the Development of Novel Formulations for Cancer Treatment
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Artificial Intelligence in Precision Medicine
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Artificial Intelligence and Machine Learning in Clinical Trial Design and Application
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Artificial Intelligence from a Regulatory Perspective: Drug Delivery and Devices
