Pharmaceutical Industry Driven by Artificial Intelligence and Machine Learning
Keywords:
Artificial Intelligence, Machine Learning, Pharmacokinetics ModellingAbstract
Artificial Intelligence (AI) and Machine Learning (ML) are transforming the pharmaceutical industry at all phases—drug research, development, regulatory compliance, quality assurance, and post-marketing monitoring. These technologies enhance data processing, precision, and timeliness through the utilisation of intricate algorithms and extensive healthcare datasets. Artificial intelligence aids in drug target identification, drug design, toxicity prediction, and pharmacokinetics modelling, while also enhancing regulatory processes and pharmacovigilance. Despite its advantages, difficulties persist, including data privacy, algorithmic bias, explainability, and accountability. Regulatory frameworks and ethical considerations must evolve to ensure the safe and equitable application of AI in pharmaceuticals. This article examines the current applications, benefits, hazards, and future potential of AI and ML in revolutionising medication development and healthcare outcomes.
References
C. Selvaraj, I. Chandra, and S. K. Singh, “Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries,” Mol. Divers., vol. 26, no. 3, pp. 1893–1913, 2022.
S. A. Kumar et al., “Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry,” Future Med. Chem., vol. 14, no. 4, pp. 245–270, 2022.
A. B. Pazhayattil and G. Konyu-Fogel, “An empirical study to accelerate machine learning and artificial intelligence adoption in pharmaceutical manufacturing organizations,” J. Generic Med., vol. 19, no. 2, pp. 81–91, 2023.
C. Sarkar et al., “Artificial intelligence and machine learning technology driven modern drug discovery and development,” Int. J. Mol. Sci., vol. 24, no. 3, p. 2026, 2023.
S. Kolluri, J. Lin, R. Liu, Y. Zhang, and W. Zhang, “Machine learning and artificial intelligence in pharmaceutical research and development: a review,” AAPS J., vol. 24, no. 1, p. 19, 2022.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Sandha Udhan Baorhide

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.