中原纳米酶实验室的纳米酶技术，正在多个领域崭露头角。实验室目前正开发针对多种传染病的检测试 纸，部分已进入临床试验阶段，预计上市后年产值可超亿元。此外，实验室还计划建设纳米酶降解秸秆 基地，设计年产能50万吨。在农业领域，固氮纳米酶已喷洒应用于小麦、玉米、花生及多种蔬菜，均实 现了增产。未来，这项技术应用还将向中草药等高价值经济作物延伸，力争五年内推广面积超千万亩， 带动产值超10亿元。 一双"慧眼"，照亮基层健康。 在基层医疗领域，一双"AI慧眼"将发挥重要作用。由中国工程院院士、河南省医学科学院院长王宁利团 队研发的伏羲慧眼大模型已升级至2.0版本，目前拥有约600万张图像数据，是全球数据规模最大、综合 性能领先的眼科AI大模型。目前，团队已与华为合作开发多型号一体机，在河南、广东、福建、新疆 等四省（自治区）的11家医院试点应用；并与蚂蚁健康联合推出智能服务，用户通过支付宝扫码即可使 用。未来还将结合手机拓展设备，助力基层医生开展眼病防控。 一条"通道"，为生命抢时间。 在器官移植这场分秒必争的赛跑中，一条突破性的"转运通道"已初步打通。由省医科院电生理研究所研 发的离体心脏转运系统模型样机问世。该系统 ...

近日，康恩贝一则公告引发市场关注：公司董事长、法定代表人姜毅申请辞职，其任期至此提前两年多 画上句号。12月16日，康恩贝再就此事发布公告，强调姜毅离职系工作调整。 这并非康恩贝近年来的首次高层震动，自2020年浙江省国际贸易集团有限公司成为实际控制人以来，这 家老牌药企的核心管理层进入了持续调整的周期，引发市场关注。 12月17日，康恩贝有关负责人回应南都湾财社记者称，新董事人选还在"走流程中"，同时提到从专业度 上而言，继任者"有更深厚的医学专业背景"。 工作调整： 降本背后： 主营业务面临"成长的烦恼" 事实上，今年4月，姜毅已因"工作调整"辞去康恩贝总裁职务，保留董事长一职，周璠接任总裁一职。 姜毅的离场只是康恩贝近年人事频繁更迭的缩影。 自浙江国贸2020年取得控制权以来，康恩贝的管理层进入动态调整期。2024年7月，执掌康恩贝数十载 的创始人胡季强，未获新一届董事会提名，退出董事会，显示康恩贝彻底进入浙江国贸时代。此后，浙 在任董事长一年半即辞职 公开资料显示，姜毅本科毕业于浙江农业大学，后获美国得克萨斯大学阿灵顿商学院工商管理硕士学 位。他的职业生涯深度绑定浙江国贸，进入康恩贝前，他作为浙江国贸 ...

Core Viewpoint - Beijing Tongrentang Co., Ltd. is implementing a core strategy of "inheriting essence and innovating with integrity," focusing on cultural empowerment, digital intelligence, professional collaboration, and quality foundation in its marketing approach [1][2]. Group 1: Cultural Empowerment - The company is breaking traditional cultural dissemination models by creating a "Traditional Chinese Medicine Health Culture IP" centered around the "Qingxin Jiannao Huoluo Exercise," which aims to establish a closed-loop operation of "cultural awareness - user education - product scenario binding" [4]. - This initiative targets the elderly population, providing practical "preventive healthcare" solutions through a platform that covers 14 core cities and nearly 2 million elderly families [4]. - Collaborations with organizations like the China Marriage and Family Research Association and the China Elderly Sports Association enhance community engagement and service offerings [4]. Group 2: Digital Intelligence - The company is accelerating its digital transformation to enhance operational efficiency and user service, establishing a "data-driven, intelligent collaboration" marketing model [6]. - A digital marketing decision-making platform has been developed to collect data across various dimensions, enabling real-time market trend analysis and dynamic optimization of marketing strategies [6]. - The launch of an AI-driven health service platform in collaboration with Xiaomi aims to lower barriers for users seeking TCM services and effectively reach younger consumers [7]. Group 3: Professional Collaboration - The company is focusing on grassroots medical services as a key area for market expansion, creating a collaborative ecosystem among enterprises, medical institutions, and grassroots practitioners [8]. - The "Strong Foundation Cultivation of Chinese and Western Medicine" project aims to ensure high-quality training for practitioners through a structured selection and training process [8][9]. Group 4: Quality Foundation - Quality is emphasized as the lifeline of the brand, with a comprehensive supply chain quality control system established from sourcing to production and end-user traceability [10]. - The company adheres to strict standards in sourcing, particularly with its Jilin ginseng, which has received multiple organic certifications, ensuring high-quality products [10]. - A traceability system allows consumers to access detailed information about the entire process of herbal medicine, reinforcing trust in the brand's quality [10].

Group 1 - The integration of AI and traditional Chinese medicine (TCM) is seen as an inevitable trend, with experts predicting that AI will drive industrial and social development, including in the TCM sector [2][3] - AI can enhance the accuracy and efficiency of TCM diagnosis, improve product quality and production efficiency, and facilitate the decentralization of medical resources [2][3] - Experts emphasize the need for TCM practitioners to adapt to the integration of AI technology and TCM, urging a proactive approach to this transformation [2][3] Group 2 - Challenges in integrating AI with TCM include the need for standardized data collection methods and the development of a scientific understanding of TCM diagnostic patterns [3] - There are significant barriers to overcome, such as data discrepancies, the establishment of evaluation systems, and the cultivation of interdisciplinary talent who understand both TCM and computational sciences [3] - Future integration of AI with medical service data may face regulatory and ethical hurdles that require collaborative efforts to establish a comprehensive support system [3][4]