Relevance of AI in microbased drug delivery system

Bakhtiar, M. Taher and Darnis, Deny Susanti and Hamzah, Nurasyikin and Aminudin, Nurul Iman and Ismail, Mohamad Wafiuddin and Danial, Wan Hazman and Shafiee, Saiful 'Arifin and MD Ali, Mohd Adli and Ramli, Muhammad Zahir (2023) Relevance of AI in microbased drug delivery system. In: A Handbook of Artificial Intelligence in Drug Delivery. Academic Press, an imprint of Elsevier, Oxford, United Kingdom, pp. 123-143. ISBN 978-0-323-89925-3

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Abstract

Recently, advanced and complex artificial intelligence methods have been employed to atomize and optimize drug delivery procedures. Conventional methods such as multiple linear regression and multilayer perceptron have been replaced with newer and more accurate methods like deep artificial neural networks and Bayesian regularized artificial neural networks. Before explaining in depth on the examples of such applications, the chapter begins with the fundamentals of artificial neural network and how it compares with its biological counterpart. The chapter is then followed by a comprehensive discussion on various examples of the artificial neural network's roles in research concerning microspheres, lipid-based carriers, liquid crystals, and solid dispersion. In all research, the finding is that the adoption of newer artificial intelligence methods leads to a faster and economical drug development process

Item Type:	Book Chapter
Uncontrolled Keywords:	Artificial intelligence; Drug delivery; Microbased formulation
Subjects:	Q Science > QD Chemistry
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Pharmacy > Department of Pharmaceutical Technology Kulliyyah of Science > Department of Chemistry
Depositing User:	Dr Deny Susanti Darnis
Date Deposited:	07 Apr 2023 16:54
Last Modified:	15 May 2024 14:46
URI:	http://irep.iium.edu.my/id/eprint/104354

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