Core Insights - The article emphasizes the importance of data as a new production factor in the digital economy, often referred to as "the new oil" [1] - The 2025 "Data Element ×" competition showcased nearly 900 projects, highlighting the growing significance of data in driving innovation across various industries [1][4] Industry Innovation - The competition aligns with China's "14th Five-Year Plan," which aims to deepen the integration of the digital economy with the real economy, fostering new industries and business models through data utilization [1] - Weichai Power has broken the world record for internal combustion engine thermal efficiency four times since 2020, with a new engine achieving 53.09% efficiency in 2024, supported by a high-quality data collection network [2] - In the healthcare sector, Shanghai Shenkang Hospital Development Center has established a national medical big data training facility, integrating data from 37 top-tier hospitals to support AI in medical applications [3] Data Utilization and Economic Impact - The competition attracted over 117,000 participants and more than 23,000 projects, with 50% of projects focused on cost reduction and efficiency improvement through data [4] - Projects utilizing public data accounted for 53% of the competition entries, indicating a strong trend towards leveraging public data for economic development [6] Policy and Market Dynamics - The article discusses the need for both policy guidance and market incentives to unlock the value of data, emphasizing the importance of market-oriented reforms in data allocation [5] - The establishment of a low-altitude economy is highlighted, where data plays a crucial role in ensuring safety and facilitating industry growth [5] Technological Advancements - The "Data Element ×" competition featured projects like the one from Shanghai Heihu Network Technology, which aims to optimize production capacity and meet customized demands through AI-driven data platforms [7] - Shanghai is positioning itself as a "global digital city," with initiatives to enhance data circulation and establish a robust data infrastructure, including blockchain and privacy computing technologies [8] International Collaboration - The article mentions a collaboration between Shanghai and Singapore to streamline business registration processes using blockchain technology, enhancing cross-border digital trust [9] - The Shanghai Blockchain Innovation Fund has been established to invest in core technologies and applications in the blockchain and data sectors, with an initial fundraising of 500 million yuan [10]

当前，医疗人工智能看似重回热潮，但底层逻辑已发生根本转变。"'取代医生'是个伪命题。AI无法独立 开具处方、撰写诊断报告，更不能执行手术操作。医生的价值远不止于解读影像或数据，更贯穿于医生 对患者整体状态的综合观察--从步态、神情到精神状态，这些细微信息共同构成诊断的重要依据。"一 医学的本质是人学。在可预见的未来，人类不会到无人工厂看病--这一观点已成为行业共识。自2017年 国内首款AI医学影像产品问世以来，人工智能在医疗领域的探索不断深入。科技部同年将医疗影像纳 入国家级人工智能平台重点方向，进一步推动了该领域的发展。 多年来，科技企业在医疗领域的探索逐渐呈现出各自不同的路径与边界。但核心始终是回归医疗本质， 聚焦真正影响诊疗效果的关键问题。 医疗AI的理性回归 伴随人口结构变化，医疗系统面临持续压力。人工智能被视为可能带来改变的技术要素之一，但必须明 确其定位。 "未来，AI在医疗领域的应用或将呈现"二八格局"：针对80%的常见疾病，可基于通用模型进行微调， 实现风险防控；针对20%的专病与疑难杂症，则训练高质量的垂直模型，提升辅助诊断精度。在这一过 程中，技术提供方始终是工具的赋能者，而医院、医生与 ...

Core Insights - The integration of AI, big data, and IoT with China's manufacturing sector is transforming production paradigms and driving industrial upgrades [1][3] - The Ministry of Industry and Information Technology reports over 30,000 basic intelligent factories, 1,200 advanced intelligent factories, and 230 excellent intelligent factories across China, indicating initial success in the cultivation of intelligent factories [1][3] Industry Transformation - Intelligent factories are becoming pivotal in shifting China's manufacturing from "scale dividends" to "value dividends," serving as a critical window for observing the transformation and upgrading of Chinese manufacturing [3][4] - The intelligent factory model is exemplified by companies like Zhongji HuanKe, which utilizes digital twin technology to optimize production efficiency, achieving a 30% reduction in delivery time and a 10% increase in first-pass yield [3][7] Application and Policy Support - The transformation of companies like Yawen Co. showcases a model of industrial change, with a focus on digitalization and transparency in manufacturing processes, leading to significant improvements in operational efficiency [4][6] - Government policies and local support for intelligent manufacturing provide a robust institutional framework for these transformations, as highlighted by the Ministry of Industry and Information Technology [6][10] Value Creation and Challenges - Intelligent manufacturing is not just about efficiency; it also involves a shift in business models, as seen with Yawen Co., which has evolved to offer comprehensive solutions beyond just machinery sales [9] - The industry faces challenges in transitioning from quantity to quality and from price competition to value competition, necessitating a restructuring of the talent system to include skilled digital craftsmen [9][10] Global Standards and Future Directions - China has published 469 national standards and 50 international standards for intelligent manufacturing, indicating a focus on application while recognizing the need for improvement in standard-setting and international influence [10] - The future of Chinese manufacturing lies in leveraging its application advantages to lead in international standard formulation and enhance its position in the global value chain [10]

Core Viewpoint - The article emphasizes the urgent need for improved cancer prevention and treatment strategies in China, particularly focusing on liver cancer, which poses significant challenges due to late diagnosis, limited treatment options, and high recurrence rates [1][2]. Group 1: Challenges in Liver Cancer Treatment - Current challenges in liver cancer diagnosis and treatment include late diagnosis, limited treatment methods, and high postoperative recurrence rates [2] - Traditional screening methods have low sensitivity for detecting liver cancer smaller than 1 cm, leading to high rates of missed early diagnoses [2] - Approximately 90% of liver cancer patients in China are related to hepatitis B virus infection, highlighting the need for better vaccination and antiviral treatment [2] - There is a lack of public awareness regarding the "silent organ" nature of liver cancer, resulting in weak screening awareness among high-risk populations [2]. Group 2: Research Breakthroughs - The TIMES model, developed by Liu Lianxin's team, is a new immune scoring system that predicts postoperative recurrence risk based on tumor microenvironment heterogeneity [3] - This model utilizes five key indicators, including NK cell distribution, and incorporates artificial intelligence to guide immunotherapy decisions [3] - The research also identifies "immune desert" areas in the tumor microenvironment, where SPP1-positive macrophages inhibit immune cell activity, leading to the development of small molecule compounds and antibody drugs to enhance immunotherapy response [3]. Group 3: Technological Innovations - The use of AI imaging recognition systems and screening applications at Mengchao Hepatobiliary Hospital has improved early liver cancer detection rates [4] - A population screening project in Fujian Province has covered 2.3 million people, diagnosing 2,029 liver cancer cases and initiating interventions [4] - Advanced surgical techniques, including 3D reconstruction and fluorescence navigation, have significantly improved the precision and safety of laparoscopic liver resections, reducing postoperative complication rates [4] - AI-assisted systems are integrated throughout the entire "screen-diagnose-treat-recover" cycle, enhancing personalized follow-up and dynamic quality control, with patient compliance increasing by over 30% [4] - The advancements in liver cancer treatment position China among the global leaders, with significant achievements in surgical, interventional, and combined immunotherapy [4].