人工智能在制药行业的应用进展  

Application Progress of Artificial Intelligence in the Pharmaceutical Industry

作　　者：万宇 郑维恒 蒋阅 赵祥伟[1] WAN Yu;ZHENG Weiheng;JIANG Yue;ZHAO Xiangwei(State Key Laboratory of Digital Medical Engineering,Schoolof Biological Sciences and Medical Engineering,Southeast University Nanjing 210096,China)

机构地区：[1]东南大学数字医学工程全国重点实验室,东南大学生物科学与医学工程学院,江苏南京210096

出　　处：《药学进展》2023年第10期741-750,共10页Progress in Pharmaceutical Sciences

摘　　要：随着人工智能(AI)技术的高速发展,AI在制药行业展现出广泛的应用潜力。总结AI在药物研发、生产、营销方面的应用情况,分析AI应用在药物靶点发现、分子设计与筛选、药物相互作用预测、生产质量监测、药品鉴别、患者画像、药物推荐等领域的效果与不足。提出应用AI技术赋能制药行业,将在缩短药品研发周期、降低药品生产与供应链成本、降低药物使用安全风险、提高药品推广效率等方面产生巨大价值,为提高药物创新水平以及健康事业带来深远的影响。With the rapid development of artificial intelligence(Al)technology,AI has shown the potential of extensive application in the pharmaceutical industry.This paper summarizes the application of Al in drug development,manufacturing and marketing,analyzes the effectiveness and shortcomings of AI application in drug target discovery,molecular design and screening,drug interaction prediction,production quality monitoring,drug identification,patient profiling and drug recommendation,and proposes that the application of AI technology in the pharmaceutical industry will have huge value in shortening drug R&D cycle,reducing drug production and supply chain costs,reducing drug safety risks,and improving the eficiency of drug promotion,with long-term impact on the promotion of innovative drug research and thedevelopment of health industry.

关 键 词：人工智能 制药 深度学习 药物研发 药物生产 药品营销 

分 类 号：R9-39[医药卫生—药学] TP18[自动化与计算机技术—控制理论与控制工程]