Impact of Artificial Intelligence in Drug Discovery and Development

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-03 DOI:10.48175/ijarsct-19103

Miss. Tanuja J. Katkar, Mr. Manohar D. Kengar, Mr. Prashant P. Aiwale, Mr. Sharad K. Kamble, Dr. Rajesh S. Jagtap, Dr. Amol A. Patil

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Abstract

The field of drug discovery and development has been revolutionized by the integration of artificial intelligence (AI) technologies. AI has significantly impacted various stages of the drug development process, including target identification, lead optimization, pharmacokinetics, and toxicity prediction. This review paper provides an overview of the impact of AI in drug discovery and development, highlighting the advancements, challenges, and future prospects. It discusses the application of machine learning, deep learning, and other AI techniques in accelerating the drug discovery process, improving the efficiency of clinical trials, and reducing the overall cost of drug development. Additionally, this review examines the ethical and regulatory considerations associated with the use of AI in drug development. Overall, this paper emphasizes the transformative potential of AI in revolutionizing the pharmaceutical industry and improving patient outcomes

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人工智能对药物研发的影响

人工智能（AI）技术的融入给药物发现和开发领域带来了革命性的变化。人工智能对药物开发过程的各个阶段都产生了重大影响，包括靶点识别、先导物优化、药代动力学和毒性预测。本综述概述了人工智能对药物发现和开发的影响，重点介绍了人工智能的进步、挑战和未来前景。它讨论了机器学习、深度学习和其他人工智能技术在加速药物发现过程、提高临床试验效率和降低药物开发总体成本方面的应用。此外，本综述还探讨了与在药物开发中使用人工智能相关的伦理和监管问题。总之，本文强调了人工智能在革新制药业和改善患者治疗效果方面的变革潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Journal of Advanced Research in Science, Communication and Technology

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