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]

央视网消息：据"工信微报"公众号消息，为贯彻落实党中央、国务院关于发展生物制造决策部署，根据《工业和信息化部办公厅关于开展智能技术在生物 制造领域典型应用案例征集工作的通知》（工信厅消费函〔2024〕394号），经省级工业和信息化主管部门推荐、专家评价、网上公示等程序，现将"人工 智能在生物制造领域典型应用案例（第一批）"印发，请进一步推动人工智能与生物制造深度融合，促进生物制造全产业链提质升级。 | 序号 | 案例名称 | 等级 | 场景 | 地区 | 申报单位 | 案例简介 | | --- | --- | --- | --- | --- | --- | --- | | | 应用 SemDB 数据库技术实现 | | 生物反应过 | | 北京诚益通控制 | 利用工艺参数大数据分析、AI 模型预测、机器学习算法等技 | | 1 | 大规模生物制造过程全链条精 | 优秀 | 程的智能控 | 北京市 | 技术集团股份有 | 术,有效解决生产中工艺过程黑箱化、工艺数据滞后等瓶颈问 | | | 准工艺控制和 AI 大数据分析 | | 制 | | 限公司 | 题,实现生产稳定性提升与原料高效利用。 | | 2 | 智能化 ...