项目负责人表示，此次科研成果落地应用价值多元：为监管机构提供高灵敏度检测工具与质量分级模 型，助力精准监管；建立科学质量分级体系，帮消费者辨别产品真伪、保障合法权益；培养跨学科复合 型人才，填补产业智能检测领域人才缺口；研发的远程评价系统可降低企业研发成本、缩短上市周期， 相关专利与技术标准具备产业化潜力，全面推广后将显著拉动产业产值增长。 中国经济网北京12月22日讯（记者 鞠然）近日，由国家市场监督管理总局组织、中国质量检验检测科 学研究院研发的美丽健康产品品质智能检测评价技术顺利攻克系列关键技术瓶颈。记者了解到，该项技 术通过多学科交叉融合，系统性突破"风险物质与功能成分识别—特异性品质鉴别与质量分级—多传感 视触融合功效评价—远程快速实时智能评价系统"全链条技术壁垒，为我国美丽健康产业高质量发展提 供了重要技术支撑与创新解决方案。 智能检测评价技术在美丽健康产品品质智能检测评价技术领域取得了系统性阶段性成果：在智能识别检 测领域，科研团队成功建立AI风险检测系统，研发出8种高关注物质专属检测方法，仪器分析检测准确 率超95%，团队还推进2项口腔护理产品国家标准立项；特异性品质鉴别方面，技术团队深化对原 ...

Group 1 - The event "Industrial and Information Lecture Hall" focused on the digital transformation of the biopharmaceutical industry, with over 100 participants including government officials and industry representatives [1][3] - The event included site visits to Hengxiutang Pharmaceutical Co., Ltd. and Sinocare Inc., where attendees learned about digital transformation experiences [3] - More than 100 small and medium-sized enterprises in Changsha's biopharmaceutical sector are participating in the third batch of transformation trials, creating multiple typical application scenarios and innovative dual-line integration models [3] Group 2 - Hengxiutang Pharmaceutical's digital transformation leader shared insights on the underlying logic and implementation paths of digital transformation, addressing pain points in traditional Chinese medicine manufacturing [3] - The next steps for the industrial system include building a "government-industry-university-research-application" platform to tackle common technologies like AI quality control and drug traceability [3] - The initiative aims to support benchmark enterprises in sharing transformation experiences and encourage personalized intelligent manufacturing scenarios, while also focusing on cultivating interdisciplinary talent through collaboration with universities and research institutions [3]