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Research Journal of Pharmacy and Technology
Year : 2023, Volume : 16, Issue : 4
First page : ( 2075) Last page : ( 2082)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.52711/0974-360X.2023.00341

Artificial intelligence and tools in pharmaceuticals: An overview

Patil Prasad1, Nrip Nripesh Kumar1,*, Hajare Ashok2, Hajare Digvijay3, Patil Mahadev K.4, Kanthe Rajesh1, Gaikwad Anil T.1

1Bharati Vidyapeeth Institute of Management, Kolhapur, Maharashtra, India - 416003

2Bharati Vidyapeeth College of Pharmacy, Kolhapur, Maharashtra, India - 416013

3Computer Science DepartmentUniversity of Liverpool, Liverpool, United Kingdom - L69 3BX

4Bharati Vidyapeeth Abhijit Kadam Institute of Management and Social Sciences, Solapur, Maharashtra - 413004

*Corresponding Author E-mail: nripesh.nrip@bharatividyapeeth.edu

Online Published on 13 October, 2023.

Abstract

In the field of pharmaceuticals, artificial intelligence has the potential to revolutionize multitudes of aspects related with pharmaceutical field. In this article, we provide an overview of the benefits and applications of artificial intelligence in the pharmaceutical industry, including drug discovery, clinical trial design, personalized medicine, streamlining drug development, and enhancing drug safety. In addition, impact of artificial intelligence and its tools on pharmaceutical industry as well as major worldwide start-ups in this area has also been discussed. However, the adoption of AI in the pharmaceutical industry faces various challenges such as a lack of clear regulatory guidance, data privacy and security concerns, data quality and availability issues, and ethical considerations. Despite these challenges, continued investment and development in AI has the potential to significantly improve the efficiency and accuracy of drug development and improve patient outcomes. In conclusion, while AI holds great promise for the pharmaceutical industry, there are still significant challenges that must be overcome to fully realize it’s potential.

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Keywords

Artificial Intelligence, Pharmaceuticals, Drug Discovery, Drug Development, Clinical Trials, Drug Safety.

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