Revolutionizing Pharmaceutical Industry: The Radical Impact of Artificial Intelligence and Machine Learning
- PMID: 37550904
- DOI: 10.2174/1381612829666230807161421
Revolutionizing Pharmaceutical Industry: The Radical Impact of Artificial Intelligence and Machine Learning
Abstract
This article explores the significant impact of artificial intelligence (AI) and machine learning (ML) on the pharmaceutical industry, which has transformed the drug development process. AI and ML technologies provide powerful tools for analysis, decision-making, and prediction by simplifying complex procedures from drug design to formulation design. These techniques could potentially speed up the development of better medications and drug development processes, improving the lives of millions of people. However, the use of these techniques requires trained personnel and human surveillance for AI to function effectively, if not there is a possibility of errors like security breaches of personal data and bias can also occur. Thus, the present review article discusses the transformative power of AI and ML in the pharmaceutical industry and provides insights into the future of drug development and patient care.
Keywords: Artificial intelligence; QSAR modeling; drug discovery; machine learning; polypharmacology; post-marketing surveillance; target identification.
Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.
Similar articles
-
Artificial intelligence-driven pharmaceutical industry: A paradigm shift in drug discovery, formulation development, manufacturing, quality control, and post-market surveillance.Eur J Pharm Sci. 2024 Dec 1;203:106938. doi: 10.1016/j.ejps.2024.106938. Epub 2024 Oct 16. Eur J Pharm Sci. 2024. PMID: 39419129 Review.
-
Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects.Curr Drug Metab. 2023;24(9):622-634. doi: 10.2174/0113892002265786230921062205. Curr Drug Metab. 2023. PMID: 37779408 Review.
-
Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors.Methods. 2023 Nov;219:82-94. doi: 10.1016/j.ymeth.2023.09.010. Epub 2023 Sep 29. Methods. 2023. PMID: 37778659 Review.
-
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries.Mol Divers. 2022 Jun;26(3):1893-1913. doi: 10.1007/s11030-021-10326-z. Epub 2021 Oct 23. Mol Divers. 2022. PMID: 34686947 Free PMC article. Review.
-
The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review.AAPS PharmSciTech. 2024 Aug 15;25(6):188. doi: 10.1208/s12249-024-02901-y. AAPS PharmSciTech. 2024. PMID: 39147952 Review.
Cited by
-
Visionary Health Architects and Leaders: The Strategic Role of Medical Advisors in Modern Pharma.Pharmaceut Med. 2025 Mar;39(2):87-95. doi: 10.1007/s40290-025-00557-y. Epub 2025 Mar 15. Pharmaceut Med. 2025. PMID: 40087202 Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources