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Role of artificial intelligence in transforming pharmaceutical technology and its challenges
1 Veranova, Devens, 01434. M.A United States of America.
2 GITAM School of Pharmacy, GITAM Deemed to be University, Visakhapatnam, 530045 Andhra Pradesh, India.
Review
International Journal of Science and Research Archive, 2024, 13(02), 1884–1889.
Article DOI: 10.30574/ijsra.2024.13.2.2270
Publication history:
Received on 13 October 2024; revised on 30 November 2024; accepted on 03 December 2024
Abstract:
Artificial intelligence (AI) has emerged as a powerful tool in transforming drug discovery, formulation, and testing within the pharmaceutical industry. AI is transforming drug discovery by analyzing large-scale biological data, such as genomics and proteomics, to identify disease-related targets. One of the major benefits of AI in drug discovery is its possibility to reduce the costs of research and development (R&D). It can predict crucial aspects of drug behavior, such as pharmacodynamics (PD) and pharmacokinetics (PK) —how a drug works in the body and how the body responds to the drug. By analyzing real-world patient data, AI can help create personalized treatment plans, improving outcomes by tailoring drugs to individual patient profiles. It also plays a part in drug delivery optimization, including designing more efficient pharmaceutical dosage forms. AI can optimize manufacturing process, which enhance consistency, and quality control. While the possibilities for AI in drug discovery is vast, there are also challenges. One key issue is the need for high-quality, well-curated data. Despite the challenges, the investment in AI technologies in the pharmaceutical industry presents exciting opportunities. In summary, there is immense possibilities with AI holds to enhance drug development by improving efficiency, reducing costs, and enabling more personalized treatments. This review outlines the role of AI and current pharmaceutical challenges.
Keywords:
Artificial intelligence; Genomics; Proteomics; Pharmacokinetics; Pharmacodynamics
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
