AccScience Publishing / AIH / Online First / DOI: 10.36922/aih.2973
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REVIEW

AI and pharma: Transforming the paradigm, embracing the new era

Harjeevan Singh Kang1*
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1 College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
AIH 2024, 1(3), 1–9; https://doi.org/10.36922/aih.2973
Submitted: 20 February 2024 | Accepted: 15 March 2024 | Published: 14 May 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

This review delves into the dynamic intersection of artificial intelligence (AI) and the pharmaceutical industry, exploring a wide spectrum of clinical and commercial applications, challenges and risks, potential solutions, and future outlooks as these domains converge. With the rapid advancement of AI, this review addresses the profound implications of AI in the life sciences sector, emphasizing its potential to revolutionize drug discovery, clinical trials, personalized medicine, pharmacovigilance, sales, and marketing. While lauding the paradigm-shifting prospects, this paper confronts the ethical, privacy, and bias risks entwined with AI development and deployment. Forward-looking solutions, including fortified data governance frameworks, transparent AI algorithms, and interdisciplinary alliances, stand as bulwarks against these impediments. Furthermore, it considers the possibilities afforded to AI by emergent technologies, such as quantum cloud computing and low-code solutions. In conclusion, this review envisions a future where AI, in collaboration with innovative technologies, reshapes the pharmaceutical landscape. By promoting informed discussions and collaboration, this review seeks to empower the industry to harness the transformative potential of AI in an ethical manner.

Keywords
Artificial intelligence
Pharma
Clinical
Marketing
Sales
Regulation
Funding
None.
Conflict of interest
There are no conflicts of interest.
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Artificial Intelligence in Health, Electronic ISSN: 3029-2387 Print ISSN: 3041-0894, Published by AccScience Publishing
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