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A Handbook of Artificial Intelligence in Drug Delivery - 1st Edition - ISBN: 9780323899253

A Handbook of Artificial Intelligence in Drug Delivery

1st Edition

Editors: Anil Philip Aliasgar Shahiwala Mamoon Rashid Md Faiyazuddin
Paperback ISBN: 9780323899253
Imprint: Academic Press
Published Date: 2nd May 2022
Page Count: 400
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A Handbook of Artificial Intelligence in Drug Delivery is the first book to explore the use of Artificial Intelligence (AI) in drug delivery strategies. The massive time and costs investments in drug research and development necessitate application of more innovative techniques and smart strategies. AI will play crucial role in curtailing this sum and time frame. Artificial intelligence enabled techniques (AIET) offer tremendous opportunities for solving the complex algorithms associated with designing of functional drug delivery systems, predicting the bioactivities and interactions of drugs and treatment outcomes. By narrowing down the application of AI research and challenges, it is possible to bring translational benefits. This 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 the future of AI in drug delivery. A Handbook of Artificial Intelligence in Drug Delivery will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry, and bioinformatics.

Key Features

  • Focuses on the use of Artificial Intelligence in drug delivery strategies and how this might change in the future
  • 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 system and digital health transforms


Academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry, and bioinformatics

Table of Contents

1 Preface
2 An overview of Artificial intelligence in Drug development
3 General considerations on Artificial intelligence
3.1. The importance of AI in pharmaceutical operations
3.2. Role of Machine learning (ML) in drug design and drug delivery
3.3. Application of AI in biomedical and tissue engineering
3.4. Integration of AI and nanotechnology
4 Role of Artificial intelligence in quality profiling and optimization of drug products
4.1. Quality by Design (QbD) & Design of Experiment (DoE)
4.2. Simulation process and tools in drug manufacturing and product development
4.3. Artificial intelligence in drug delivery modeling
5 AI in automating drug development
5.1. Drug encapsulation and coating techniques
5.2. Intelligent drying technology and drying kinetics
5.3. Blending, milling and granulation technology
5.4. Solubility and drug release kinetics
5.5. Supercritical fluid extraction and chromatographic analysis
6 AI approaches for development of drugs and delivery systems
6.1. Machine learning algorithms for the quality assessment of protein and peptides
6.2. AI driven diagnostics and detection tools
6.3. Predicting the effectiveness of drug dosing and delivery methods
6.5. AI methods for optimization of modified release solid dosage forms
6.6. AI correlation between the formulation factors and release profiles
6.7.1. Microspheres and microparticles
6.7.2. Liposomes and solid dispersions
6.7.3. Implants and transdermal products
6.7.4. Nanomaterials
7 Artificial neural network (ANN) in Drug delivery
7.1. ANN in drug transport modeling and simulation studies
7.2. Role of ANN in drug formulation and drug administration
7.3. Significance of ANN in Controlled Drug Delivery
8 Application of AI in Microbased drug delivery system
8.1. General considerations on the broad utility of AI for designing novel microsystems for drug delivery system
8.2. Types of formulations
8.2.1. Microspheres and microcapsule
8.2.2. Microparticles, Janus microparticles and Lipid microparticles
8.2.3. Liquid crystals and colloidosomes
8.2.4. Microbeads and micropellets
8.2.5. Solid dispersions and hydrogels
9 Application of AI in nanobased Drug delivery system
9.1. General aspects on the broad utility of AI for designing novel nanosystems for drug delivery
9.2. Types of formulations
9.2.1. Vesicular nanosystems (liposomes, niosomes, transferosome)
9.2.2. Nanoemulsion, nanosuspension and nanogels
9.2.3. Polymeric and Lipid nanoparticles
9.2.4. Inorganic, metallic and magnetic nanoparticles
9.2.5. Polymeric micelles and Dendrimers
9.2.6. Nanosized biomaterials
9.2.7. Nanopowder, nanocrystals, electrospun medicated nanofibers and Quantum dots (QDs)
9.2.8. Artificial DNA nanostructures and protein nanoparticles
10 AI in Microfabrication technology
10.1. Implantable microchips for programmed delivery of drugs
10.2. Microfabricated drug reservoirs for continuous and pulsatile drug delivery
10.3. AI integrated smart biosensors in targeted delivery
10.4. AI enabled microfluidic platforms for advanced drug delivery system
10.5. Organ-on-a-chip (OOC) technologies in drug delivery
10.6. Monoclonal antibodies (mAb’s) in customized drug delivery of drugs
11 Artificial Intelligence and 3D printing technology for drug delivery system and devices
12 Design and control of nanorobots and nanomachines in drug delivery
12.1. Nanorobots enabled artificial blood: Respirocytes, microbivores, clottocytes
12.2. Bionanorobots as smart biosensors
12.3. Micro/nanorobots in targeted drug delivery
12.4. 3D-motion nanomachines and biologically inspired nanobots as delivery vehicles
13 Artificial Intelligence in Drug delivery devices
13.1. Nano/microfabricated drug delivery devices
13.1.1. Microneedles, Micropumps and microvalves
13.1.2. Self-regulated drug delivery micro/nanodevices
13.1.3. Novel ocular inserts and insulin jets
13.2. AI powered respiratory inhalers and delivery devices
13.3. Wearable/disposable drug delivery devices
13.4. Internet-of-things (IoT) and Mobile App in iontophoretic drug delivery devices
14 Role of AI in ADME/Tox towards formulation optimization and delivery
15 AI and ML for clinical trial design and application
16 Artificial intelligence application in vaccine development
17 Role of Artificial intelligence in pharmacogenomics and precision medicine
18 Artificial Intelligence from regulatory perspective: Drug delivery and devices
19 Global impact of AI on drug delivery market: The present scenario and future prospects
20 Conclusion
21 Bibliography
22 Glossary (Abbreviations)


No. of pages:
© Academic Press 2022
2nd May 2022
Academic Press
Paperback ISBN:

About the Editors

Anil Philip

Prof. Dr. Anil K. Philip is currently working as Associate Dean (Head), School of Pharmacy, University of Nizwa, Oman. Among other credentials, he also serves as a member of the HSS sectorial grant committee of The Research Council, Oman. 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, and possesses rich experience in digging the root cause and finding solutions thereof for superior drug delivery systems. Currently, his lab focuses on developing nano drug delivery system, which can be targeted to the various body organs. His work recently was granted a patent for controlled delivery of nutraceutical and another patent is pending for colon targeted systems.

Affiliations and Expertise

Associate Dean (Head), School of Pharmacy, University of Nizwa, Oman

Aliasgar Shahiwala

Prof. Aliasgar Shahiwala is a Professor in the Department of Pharmaceutics, and Graduate Program Director, at Dubai Pharmacy College, Dubai, UAE. Prof. Shahiwala has obtained postdoctoral research experience at Northeastern University, United States, centred on applications of nanotechnology in the field of drug delivery and drug targeting. With more than 20 years of teaching and research experience, he has published 3 books, 10 book chapters and several articles in international peer-reviewed journals.

Affiliations and Expertise

Professor and Graduate Program Director, Department of Pharmaceutics, Dubai Pharmacy College, Dubai, UAE

Mamoon Rashid

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.

Affiliations and Expertise

Assistant Professor, Pharmaceutics, Appalachian College of Pharmacy, Oakwood, Virginia, USA

Md Faiyazuddin

Prof. (Dr.) Md. Faiyazuddin is renowned academician, edupreuneur & researcher with over 14 years of rich experience 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 the Fellow Member of the George Washington University of Peace USA, and the Founder President of International Pharmaceutical Forum. He is an associate member of 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. His research has received funding from Department of Science & Technology, Govt. of India and other international foundations. Dr. Faiyazuddin has extensively published research & review articles & conference proceedings. He has a number of awards and accolades to his name and is on editorial boards of various national & international journals.

Affiliations and Expertise

Associate member, 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, USA

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