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AI has emerged as a revolutionary technology in the pharmaceutical and biomedical fields. This review explores its transformative role, particularly in drug development, the discovery of future interventions in the pharmaceutical sector. By leveraging AI, these processes have become more efficient, cost-effective, and capable of delivering personalized medicine to individual patients. Moreover, AI’s potential in disease prevention and outbreak prediction is promising, as it can analyze vast datasets to identify crucial patterns and trends, leading to targeted interventions for combating diseases. In biomedical research, AI has proven highly beneficial, especially in genomics, proteomics, and metabolomics, where it enables researchers to comprehensively analyze complex biological data, uncovering new insights and accelerating scientific discoveries. The impact of AI is also evident in the patient-physician interface, as it enhances diagnostic accuracy and treatment efficiency, ultimately improving patient care.


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Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review

Show Author's information Rahul S. Tade( )Swapnil N. JainJanhavi T. SatyavijayPratham N. ShahTejaswi D. BariTanushri M. PatilRuhi P. Shah
Department of Pharmaceutics, H.R. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra 425405, India

Abstract

AI has emerged as a revolutionary technology in the pharmaceutical and biomedical fields. This review explores its transformative role, particularly in drug development, the discovery of future interventions in the pharmaceutical sector. By leveraging AI, these processes have become more efficient, cost-effective, and capable of delivering personalized medicine to individual patients. Moreover, AI’s potential in disease prevention and outbreak prediction is promising, as it can analyze vast datasets to identify crucial patterns and trends, leading to targeted interventions for combating diseases. In biomedical research, AI has proven highly beneficial, especially in genomics, proteomics, and metabolomics, where it enables researchers to comprehensively analyze complex biological data, uncovering new insights and accelerating scientific discoveries. The impact of AI is also evident in the patient-physician interface, as it enhances diagnostic accuracy and treatment efficiency, ultimately improving patient care.

Keywords: drug discovery, artificial intelligence (AI), precision medicine, pharmaceutical research, academic research, job market

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Publication history

Received: 30 July 2023
Revised: 26 September 2023
Accepted: 19 October 2023
Published: 08 December 2023
Issue date: March 2024

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© The Author(s) 2024.

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