Author(s)

Yiyi Shen ¹

Affiliation(s)

¹ East China University of Science and Technology, Shanghai 200237, China

Corresponding Author

Yiyi Shen

ABSTRACT

The Good Manufacturing Practice for Pharmaceutical Production (GMP) is a set of mandatory standards for pharmaceutical industries. GMP requires pharmaceutical manufacturers to strictly improve the quality management and verification system in accordance with the relevant national regulations, ensure the reliable process of pharmaceutical equipment, and realize the safe production of drugs. Under such a strict system, the excellence of GMP quality management system enables the small differences in all links of drug production to be found and corrected by the system, so as to ensure the quality, safety and effectiveness of drugs [1]. At present, modern science and technology has increasingly become an important basis for the research and development of new drugs. Among them, artificial intelligence (artificiAI intelligence, AI), as an advanced technological means, is bringing great promotion and change to many fields in GMP. Wikipedia's definition of artificial intelligence [2]: "Artificial intelligence, also called machine intelligence, is different from the natural intelligence of human beings themselves, which refers to the intelligence expressed by machines made by human beings". In recent years, AI technology has been widely used in various aspects of GMP, such as data processing, production line efficiency, and quality control, to improve the detection accuracy, efficiency, and management level. This paper will illustrate the impact of AI technology on GMP from the application, advantages, challenges and its future development prospects.

KEYWORDS

GMP Quality Control, AI technology, Safety Data, online Testing Equipment

CITE THIS PAPER

Yiyi Shen, Effect of AI on GMP-Taking Quality Control in GMP as an Example. Journal of Artificial Intelligence Practice (2023) Vol. 6: 8-14. DOI: http://dx.doi.org/10.23977/jaip.2023.060302.

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