Abstract

THE CONTRIBUTION OF ARTIFICIAL INTELLIGENCE IN DRUG DEVELOPMENT AND DISCOVERY: A PANORAMIC REVIEW

Jeeban Pradeep Agnihotry*, B. Pharmacy

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Abstract

Artificial Intelligence (AI) is revolutionizing medicate revelation and improvement by altogether quickening forms, lessening costs, and improving exactness. In later a long time, AI-driven innovations, counting machine learning (ML), profound learning, characteristic dialect handling (NLP), and generative models, have progressively been connected over different stages of pharmaceutical investigate. This audit gives a comprehensive investigation of the part of AI in target recognizable proof, lead compound disclosure, sedate repurposing, and clinical trials, emphasizing later breakthroughs and the challenges that go with AI integration. With case ponders, measurable prove, and visual helps such as tables and charts, this article highlights AI's potential to reshape the pharmaceutical industry and addresses the moral, administrative, and data-related obstacles.

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