人工智能对制药行业的干预:革命性的药物发现和制造

Vijeth N. Bhat , Swati Bharati , Chellampillai Bothiraja , Jaiprakash Sangshetti , Vinod Gaikwad
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摘要

人工智能(AI)是为了在机器中模仿人类智能而设计的。信息技术的发展和计算机计算能力的进步为许多制药工业和医疗保健部门的进步提供了一个很好的平台。导致制药和医疗保健行业与人工智能公司的整合。人工智能被用于制药行业的各个部门,如药物发现、开发、目标识别、制造过程、剂量设计、临床试验设计等等。在采用人工智能并将其成功集成到各种流程之前,制药行业必须解决人工智能的一些挑战和限制。本文重点介绍了人工神经网络在制药领域的应用、药物设计和发现、药物再利用、研究和开发、药品开发、制造过程、质量保证和质量控制,以及人工智能的一些挑战和前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A review on intervention of AI in pharmaceutical sector: Revolutionizing drug discovery and manufacturing

A review on intervention of AI in pharmaceutical sector: Revolutionizing drug discovery and manufacturing
Artificial intelligence (AI) is designed to mimic human intelligence in machines. The growth of information technology and advancement in the computing power of computers provided a great platform for progress in many pharmaceutical industry and healthcare sectors. Leading to the consolidation of the pharmaceutical, and healthcare industries with AI companies. AI is used in various departments of the pharmaceutical sector such as drug discovery, development, target identification, manufacturing process, dosage design, clinical trial design, and many more. There are several challenges and limitations of AI that must be addressed by the pharmaceutical industry before its adoption and successful integration into various processes. The present article is focused on Artificial Neural Networks in the pharmaceutical sector, Drug design and discovery, drug repurposing, research and development, pharmaceutical product development, manufacturing process, quality assurance and quality controls, and some challenges and prospects of AI.
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