Application of Artificial Intelligence in Drug Discovery”

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]27/09/2025 at 4:11 PM[/if 2224] | [if 1553 equals=””] Volume : 12 [else] Volume : 12[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page :

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    Gaurang Rai,

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  1. Student, Department of Computer Science and Engineering (CSE), VIT Bhopal University, Madhya Pradesh, India

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Abstract

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nThe application of artificial intelligence (AI) in medicine, specially through machine learning (ML), is revolutionizing new age drug discovery research. AI is found as a efficient and powerful tool to narrow the gap between disease detection and the developing and identifying potential therapeutic agents for cure. This review describes brief summary of the latest developments in AI and its potential application in drug discovery for untreatable diseesas. Review also examines the various basic stages of the drug discovery process, like a) disease identification and b) disease proper diagnosis, c) target identification, d) screening, and e) drug discovery. AI’s application will greatly help to analyse huge datasets and discern patterns which is very essential in these early stages of drug discovery. Thus, enhancing accurate predictions and efficiencies in disease identification and most suitable drug discovery, followed by clinical trial management. In this review, the role of AI in expediting drug development work is highlighted its great potential to analyse huge historical data volumes, which will significantly reduce the time and costs required for new drug development and its market introduction. The need of data quality, algorithm training, and ethical considerations, especially in patient data handling during clinical trials during drug discovery development work using AI, is emphasised. Considering above mentioned factors, AI seems to be capable of transforming drug development and assures significant benefits to patients and society globally- a great support to humanitynn

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Keywords: Artificial intelligence, Machine learning, Disease identification, Drug design, Drug discovery.

n[if 424 equals=”Regular Issue”][This article belongs to Emerging Trends in Chemical Engineering ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Emerging Trends in Chemical Engineering (etce)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nGaurang Rai. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Application of Artificial Intelligence in Drug Discovery”[/if 2584]. Emerging Trends in Chemical Engineering. 17/09/2025; 12(03):-.

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How to cite this URL:
nGaurang Rai. [if 2584 equals=”][226 striphtml=1][else]Application of Artificial Intelligence in Drug Discovery”[/if 2584]. Emerging Trends in Chemical Engineering. 17/09/2025; 12(03):-. Available from: https://journals.stmjournals.com/etce/article=17/09/2025/view=0

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Volume 12
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 20/07/2025
Accepted 31/08/2025
Published 17/09/2025
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Publication Time 59 Days

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