Artificial Intelligence in Drug Discovery and Development: A Comprehensive Review

Author(s)	Mrs Shital Pramod Sabale, Ms. Rutika Rajendra Patil
Country	India
Abstract	Artificial Intelligence (AI) has emerged as a transformative technology in pharmaceutical research and development. The traditional drug discovery process is lengthy, expensive, and associated with high fail-ure rates. AI-driven approaches, including Machine Learning (ML), Deep Learning (DL), Artificial Neu-ral Networks (ANNs), and Natural Language Processing (NLP), have revolutionized drug discovery by accelerating target identification, lead optimization, drug repurposing, and clinical trial management. AI enables the analysis of large biological and chemical datasets, improving the efficiency and accuracy of decision-making throughout the drug development pipeline. This review discusses the role of AI in drug discovery and development, its applications, advantages, challenges, and future prospects.
Keywords	Artificial Intelligence, Drug Discovery, Machine Learning, Deep Learning, Drug Development, Clinical Trials.
Field	Medical / Pharmacy
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-06-10

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