Gaurang Rai,
- Student, Department of Computer Science and Engineering (CSE), Vellore Institute of Technology, Bhopal University, Bhopal-Indore Highway, Kothrikalan, Sehore, Madhya Pradesh, India
Abstract
The application of artificial intelligence (AI) in medicine, especially through machine learning (ML), is revolutionizing new-age drug discovery research. AI is found as an efficient and powerful tool to narrow the gap between disease detection and developing and identifying potential therapeutic agents for a cure. This review provides a summary of the latest developments in AI and its potential application in drug discovery for untreatable diseases. The review also examines the various basic stages of the drug discovery process, like (a) disease identification, (b) disease proper diagnosis, (c) target identification, (d) screening, and (e) drug discovery. AI’s application will greatly help to analyze huge datasets and discern patterns, which is 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, and its great potential to analyze huge historical data volumes, which will significantly reduce the time and costs required for new drug development and its market introduction. The need for data quality, algorithm training, and ethical considerations, especially in patient data handling during clinical trials during drug discovery development work using AI, is emphasized. Considering above-mentioned factors, AI seems to be capable of transforming drug development and assures significant benefits to patients and society globally, which is a great support to humanity.
Keywords: Artificial intelligence, machine learning, disease identification, drug design, drug discovery
[This article belongs to Emerging Trends in Chemical Engineering ]
Gaurang Rai. APPLICATION OF ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY. Emerging Trends in Chemical Engineering. 2025; 12(03):22-29.
Gaurang Rai. APPLICATION OF ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY. Emerging Trends in Chemical Engineering. 2025; 12(03):22-29. Available from: https://journals.stmjournals.com/etce/article=2025/view=233283
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Emerging Trends in Chemical Engineering
| Volume | 12 |
| Issue | 03 |
| Received | 20/07/2025 |
| Accepted | 31/08/2025 |
| Published | 17/09/2025 |
| Publication Time | 59 Days |
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