A Brief Review on Artificial Intelligence in Drug Discovery

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Aditya Awantkar; Shivanand Rachewad; Ms.Savita Pathare; Mr.Amol Wadhave

A Brief Review on Artificial Intelligence in Drug Discovery

Authors: Aditya Awantkar, Shivanand Rachewad, Ms.Savita Pathare, Mr.Amol Wadhave

Unique Paper ID: 183456
Volume: 12
Issue: 3
PageNo: 1666-1671

Keywords: Artificial intelligence Drug discovery Therapeutic compounds.

Abstract:
Artificial intelligence (AI) has revolutionized drug discovery and development by accelerating timelines, reducing costs, and increasing success rates. AI leverages machine learning (ML), deep learning (DL), and natural language processing (NLP) to analyze vast datasets, enabling the rapid identification of drug targets, prediction of compound efficacy, and optimization of drug design. It accelerates lead discovery by predicting pharmacokinetics, toxicity, and potential side effects while also refining clinical trial designs through improved patient recruitment and data analysis. Artificial intelligence (AI) has emerged as a powerful tool in drug discovery and development, revolutionizing traditional processes and accelerating the identification of new therapeutic compounds. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), are being integrated into various stages of drug development, from target identification to clinical trials. This review explores the impact of AI on drug discovery, its advantages over conventional methods, key AI applications in pharmaceutical research, and the challenges associated with its implementation. The article also highlights future directions for AI in drug development, emphasizing its potential to enhance efficiency, reduce costs, and improve patient outcomes.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 3
PageNo: 1666-1671

A Brief Review on Artificial Intelligence in Drug Discovery

Available:https://ijirt.org/article?manuscript=183456

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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