产品(数学)
计算机科学
过程(计算)
制药工业
任务(项目管理)
质量(理念)
风险分析(工程)
剂型
过程分析技术
医药制造业
生化工程
制造工程
业务
工程类
在制品
数学
营销
医学
系统工程
药理学
几何学
认识论
操作系统
哲学
作者
K. Navya,R. Kamaraj,M. Bharathi
出处
期刊:ECS transactions
[The Electrochemical Society]
日期:2022-04-24
卷期号:107 (1): 20049-20055
被引量:6
标识
DOI:10.1149/10701.20049ecst
摘要
Artificial intelligence (A.I) is a technology based system involved in use of advanced tools and software’s and has achieved human level of capabilities and brought a paradigm shift in pharma industry therefore use of A.I in pharmaceutical product development has elevated over past few years. Adopting of technology can save money and time also provide good understanding between formulation and process parameters. Solid dosage forms are predominant in pharmaceutical market. It is estimated that tablets are the most come solid dosage form which contributes more than two-third of global market. Tablets are produced with many formulation factors i.e. from raw material to finished product therefore it is a great task and often complicated. Thus the use of A.I can help to obtain optimized formulations which could benefit pharmaceutical industry massively. Therefore adopting A.I–based technologies in manufacturing process of pharmaceutical product will improve the quality and safety of the product.
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