THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL TECHNOLOGY AND ADVANCEMENTS IN THE PHARMACEUTICAL INDUSTRY 4.0

Authors

DOI:

https://doi.org/10.69598/tbps.20.1.17-36

Keywords:

Artificial intelligence, Machine learning, Artificial neural networks, Pharmaceutical technology, Pharmaceutical Industry 4.0

Abstract

Currently, artificial intelligence (AI), which aids in decision making in complex situations, is gaining increasing attention in various fields, particularly in pharmaceutical technology. In numerous research and development endeavors, computational technologies have demonstrated their usefulness in various aspects of pharmaceutical technology. Examples include the discovery of new drugs, personalized drug manufacturing, prediction of drug formulations, studying the interaction of drugs with bacteria, absorption of drugs in the digestive system, and the drug manufacturing process. These AI systems can enhance efficiency, accuracy, manage complex data, and promote the discovery of new methods within minutes using advanced model-building techniques. Furthermore, these AI systems have several advantages compared to traditional statistical decision-making methods, as they can perceive patterns from complex datasets and develop models driven by algorithms using diverse sets of instructions, allowing for appropriate predictions based on defined-feature sets. This article also discusses anticipated future trends of Industry 4.0 (also known as the Fourth Industrial Revolution) in the pharmaceutical industry. Additionally, ethical considerations and legal implications related to incorporating AI in pharmaceutical technology are discussed. Therefore, this article provides a fresh perspective for pharmacists, experts, and others on the current status of utilizing AI and Industry 4.0 in pharmaceutical technology.

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Published

24-01-2025

How to Cite

Suriyaamporn, P., Sila-on, W. ., Kansom, T., & Opanasopit, P. (2025). THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL TECHNOLOGY AND ADVANCEMENTS IN THE PHARMACEUTICAL INDUSTRY 4.0. Thai Bulletin of Pharmaceutical Sciences, 20(1), 17–36. https://doi.org/10.69598/tbps.20.1.17-36

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Review Articles