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Author(s): Nilesh R. Suryawanshi1, Karan. A. Patil2, Nikhil. J. Rajput3, H. P. Suryawanshi4, R. A. Ahirrao5, J. I. Pinjari6

Email(s): 1hemant.surya@gmail.com

Address:

    P. G. College of Pharmaceutical Science and Research, Chaupale, Nandurbar, (MS) India.

Published In:   Volume - 3,      Issue - 2,     Year - 2024

DOI: Not Available

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ABSTRACT:
Over time, the use of ChatGPT and artificial intelligence in the pharmaceutical industry has increased, and today, it does not only help us understand the relationship between different formulations and process factors but also saves time and money. In this review, we concentrate on the use of artificial intelligence (AI) in various pharmacological areas, such as drug discovery and development, drug repurposing, increasing pharmaceutical productivity, and clinical trials, among others. This use reduces the workload for humans while also achieving goals more quickly. Additionally, with a focus on the pharmaceutical industry, this study carefully examines the existing state and possible uses of artificial intelligence in the pharmaceutical sector’s wave of the future. Costs might be cut, novel, successful therapies might be offered, but most importantly, artificial intelligence. Academic writing has recently become quite interested in the recently proposed ChatGPT, which will be released in November 2022. It uses a neural network design to deal with natural language and after receiving input texts, can quickly produce intelligent information like people based on a vast quantity of data in many different languages. It is anticipated that a combination of ChatGPT's efficient natural language processing capability with revolutionary drug research will lead to previously unheard-of insights and discoveries, ultimately expediting the creation of new drugs.

Cite this article:
Nilesh R. Suryawanshi, Karan. A. Patil, Nikhil. J. Rajput, H. P. Suryawanshi, R. A. Ahirrao, J. I. Pinjari,Impact of Artificial Intelligence and ChatGPT on Pharmaceutical Industries.IJRPAS, March-April 2024, 3(2): 79-90.


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