Core Insights - The Ministry of Industry and Information Technology has announced the first batch of typical applications of artificial intelligence (AI) in the field of biomanufacturing, with 16 companies' cases selected nationwide [1] - The selected cases cover various scenarios including intelligent control of bioreaction processes, construction and optimization of cell factories, design and construction of high-performance protein components, and design and optimization of metabolic pathways [1] - The cases are categorized into "excellent" and "typical" levels, with 5 cases rated as excellent and 11 as typical [1] Group 1: Excellent Cases - One of the excellent cases is from Beijing Chengyitong Control Technology Group Co., Ltd., which utilizes SemDB database technology for precise process control and AI big data analysis in large-scale biomanufacturing [1] - The company addresses challenges such as process black-boxing and data lag through big data analysis of process parameters, AI model predictions, and machine learning algorithms, leading to improved production stability and efficient raw material utilization [1] - The company aims to continue deepening the application of AI, big data, and industrial internet in the biomanufacturing sector, promoting digital, networked, and intelligent upgrades in the biomanufacturing process [1] Group 2: Typical Cases - A typical case from the Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, focuses on data-driven design and construction of aromatic compound cell factories, utilizing high-throughput microfluidic technology for efficient synthesis of aromatic chemicals [2]
首批AI在生物制造领域应用案例公布