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A Handbook of Artificial Intelligence in Drug Delivery
Provides a holistic view of artificial intelligence in healthcare, particularly targeting drug delivery
Anil K. Philip (Edited by), Aliasgar Shahiwala (Edited by), Mamoon Rashid (Edited by), Md Faiyazuddin (Edited by)
9780323899253, Elsevier Science
Paperback / softback, published 29 March 2023
642 pages, 100 illustrations (20 in full color)
23.5 x 19 x 3.9 cm, 1.34 kg
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.
1. An overview of Artificial intelligence in Drug development 2. General considerations on Artificial intelligence 3. Role of Artificial intelligence in quality profiling and optimization of drug products 4. AI application in the drug manufacturing for multivariate control 5. AI approaches for the development of drugs and delivery systems 6. Artificial neural network (ANN) in Drug delivery 7. Relevance of AI in Microbased Drug delivery system 8. Application of Artificial Intelligence driving Nano-based Drug Delivery System 9. AI in Microfabrication technology 10. Tracing the Nose-to-brain Nanoparticulate drug delivery using Bio /chemoinformatics tools 11. Applicability of machine learning in three-dimensionally (3D) printing dosage forms 12. Role of AI in ADME/Tox towards formulation optimization and delivery 13. Self-regulated Drug delivery Micro/ Nanodevice 14. Design and application of Nanorobots in Targeted drug delivery 15. Role of AI in Drug Product Designing, Development & Manufacturing 16. Impact of AI on drug delivery and pharmacokinetics: The present scenario and future prospects 17. Artificial Intelligence in Vaccine Development: Significance and Challenges Ahead 18. AI-enabled Qadrupole Stimuli-Responsive Targeted Polymeric Nano drug delivery for Cancer Therapy 19. Convergence of Artificial Intelligence and Nanotechnology in the Development of Novel Formulations for Cancer 20. Artificial Intelligence in Precision Medicine 21. Artificial Intelligence and Machine Learning in Clinical Trial Design & Application 22. Artificial Intelligence from regulatory perspective: Drug delivery and devices
Subject Areas: Expert systems / knowledge-based systems [UYQE], Artificial intelligence [UYQ], Pharmacology [MMG], Pharmaceutical industries [KNDP]
