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瞄准50%-70%研发成本痛点 羚研创新用去中心化技术重塑医药研发
创业邦· 2025-12-30 04:03
作者丨 杨婧雪 编辑丨 刘恒涛 图源 丨Midjourney 在创新药研发领域,临床试验一直是耗时最长、资金投入最大的环节之一。尽管早期药物发现阶段已经引入了人工智能(AI)筛 选、基因编辑等前沿技术,但在临床试验执行层面,依然保留着大量传统的线下人工作业模式,亟需数字化转型升级。 羚研创新是临床研发数字化这一赛道上的最先入局者之一。这家初创公司,主要业务方向是远程智能临床试验(DCT)平台及数 智化临床运营和内容服务。与行业巨头相比,羚研创新的切入点相对垂直,试图通过全流程整合的软件和AI服务的模式,解决临 床试验中因物理距离和人工操作带来的效率损耗。 跨界生物学+计算机 直击手工作业流程的顽疾 羚研创新创始人李高扬拥有生物学与计算机的复合背景,曾在拜耳、医渡科技等企业任职。在多年的从业经历中,他观察到医药 研发服务行业存在结构性的效率矛盾。 多项独立的国内外研究均表明,临床试验在药物研发总成本中占比50%-70%甚至更高。而在临床试验预算中,差旅、访视及现 场管理等人力成本,往往占据大部分比例。 而且主导临床试验服务的传统合同研究组织(CRO)服务商,大多采用按工时人力投入,并结合项目里程碑计费的商业模式 ...
中国人寿财险曲靖市中心支公司:深化“科技+保险”模式服务实体经济发展
Core Viewpoint - The company is committed to serving the real economy through digital transformation and innovative insurance solutions, significantly enhancing agricultural insurance and supporting local economic development [1][2]. Group 1: Technological Empowerment in Agricultural Insurance - The company has established a comprehensive "sky-ground" service system utilizing 3D pig face recognition, AI scoring, and satellite remote sensing technology [1]. - In areas like Huize and Fuyuan, the company has accurately identified 387 large-scale breeding farms using drones and AI algorithms, reducing the error rate in verification to below 0.5% and tripling the efficiency of claims investigation [1]. Group 2: Support for Specialty Agriculture - The company has introduced an "insurance + enterprise + farmer" model to support local specialty industries, such as the mushroom industry in Qujing [1]. - Following a wind disaster in spring 2025, the company quickly initiated tech-driven claims, completing damage assessments for mushroom greenhouses and providing compensation of 158,100 yuan to help farmers resume production [1]. Group 3: Comprehensive Risk Protection for SMEs - The company has provided a total of 42.6 billion yuan in comprehensive risk protection for small and medium-sized enterprises this year, alleviating financing pressures by 645 million yuan [1]. - The company is actively developing green finance and technology insurance, offering over 58.8 billion yuan in risk protection, and has provided 1.209 billion yuan in "safety responsibility insurance" for high-risk industries [1]. Group 4: Future Plans - The company plans to increase investment in agricultural insurance, expand coverage, and continue to deepen the "technology + insurance" service model to provide more comprehensive and convenient insurance services for the local economy and communities [2].
云铝股份:五载蝶变 循“新”领跑
Xin Lang Cai Jing· 2025-12-30 03:49
Core Viewpoint - Yunnan Aluminum Co., Ltd. (Yunnan Aluminum) has achieved a transformative leap from "catching up" to "leading" in the aluminum industry, focusing on high-quality development and innovation during the "14th Five-Year Plan" period [1][17]. Group 1: Business Performance - Yunnan Aluminum's business performance has shown a continuous upward trend, with a cumulative revenue of 230 billion yuan from January 2021 to September 2025, an increase of 118 billion yuan compared to the "13th Five-Year Plan" [6][21]. - The total profit reached 28.3 billion yuan, an increase of 27.1 billion yuan compared to the previous five-year plan [6][21]. - By the end of 2025, the company's market value is expected to reach 95.3 billion yuan, a growth of approximately 384% since the end of 2020 [6][21]. - Yunnan Aluminum has established a production capacity of 1.4 million tons of alumina, 3.08 million tons of electrolytic aluminum, 1.61 million tons of aluminum alloys and processing products, and 820,000 tons of carbon products by the end of the "14th Five-Year Plan" [5][21]. Group 2: Management Reform - The company has undertaken significant management reforms, restructuring its management system to enhance governance efficiency and internal motivation [7][23]. - Yunnan Aluminum has implemented a "3D1S" production control model, optimizing key performance indicators such as reducing the alkali consumption per ton of alumina by 32.72 kg and the anode consumption per ton of electrolytic aluminum by 5 kg [9][23]. - The productivity of alumina, electrolytic aluminum, and anode carbon has increased by 40%, 52%, and 53% respectively [10][24]. Group 3: Technological Innovation - Yunnan Aluminum has focused on technological innovation, implementing over 150 key research projects and obtaining 492 authorized patents, including 29 international patents and 63 invention patents [12][27]. - The company has developed high-value-added products such as 4N metal gallium and high-purity aluminum, capturing significant market shares in high-end aluminum welding materials and A356 casting aluminum alloys [12][27]. Group 4: Digital Transformation - Yunnan Aluminum has pioneered digital transformation in the industry by launching the first AI-based digital model, "Green Aluminum Cloud Insight," to integrate information technology with production operations [13][28]. Group 5: Green Development - The company has committed to green development, optimizing its energy structure and achieving an 80% clean energy utilization rate, while also reducing carbon emissions by over 1.2 million tons annually [15][30]. - Yunnan Aluminum has established a comprehensive utilization production line for aluminum ash and other waste materials, achieving over 90% resource utilization of hazardous waste [16][31]. - The company has received multiple awards for its green practices, including recognition as a leading enterprise in carbon neutrality and sustainable development [16][31].
赋能自贸港 活水润琼州
Jin Rong Shi Bao· 2025-12-30 02:19
Core Viewpoint - The Agricultural Bank of China Hainan Branch is actively supporting the development of the Hainan Free Trade Port through innovative financial services and strategic partnerships with the local government, enhancing the region's economic vitality and efficiency [1][2]. Group 1: Cross-Border Financial Innovation - The bank has adopted a "whole bank handles international business" approach, achieving average growth rates of 68% in international settlement volume, 67% in international business credit volume, and 200% in cross-border RMB business volume over the past three years [2]. - The bank launched the EF account, a multifunctional free trade account, with a business scale exceeding 6.5 billion yuan, facilitating cross-border capital operations [2]. - As a pilot bank for high-level cross-border trade openness, the bank has provided over 3.5 billion yuan in trade settlement services and supported cross-border investment of 5.31 billion yuan [2][3]. Group 2: Support for the Real Economy - The bank focuses on serving the real economy, with loans to four leading industries exceeding 33 billion yuan and a 71.12 billion yuan increase in county-level loans [4]. - In the agricultural sector, the bank reported loan growth rates of 80.99% for grain and 279.56% for seed industry loans, with a coverage rate of 68.28% for leading agricultural enterprises [4]. - The bank has issued 9.7 billion yuan in credit to 8,701 small and micro enterprises, and green finance loans have grown by 18.5% [4]. Group 3: Enhancing Consumer Services - The bank has aligned its financial support with consumption stimulation policies, providing convenient credit services in key consumer sectors such as automobiles and home appliances, resulting in personal loan and credit card loan growth rates of 11.21% and 42.93%, respectively [6][7]. - The bank has established 32 "trade union stations," with one recognized as the "most beautiful station" nationally, and has conducted over 17,000 consumer rights protection education activities in the past three years [7]. - The bank has developed online and offline services for social security cards, enhancing the financial service experience for talents in the Hainan Free Trade Port [7].
2025年中国工业大数据行业政策、产业链、市场规模、重点企业经营情况及发展趋势研判:政策支持与技术进步共同推动,工业大数据规模将达到1543亿元[图]
Chan Ye Xin Xi Wang· 2025-12-30 01:32
Core Insights - The industrial big data industry is a key enabling sector that leverages data as a core production factor, facilitating the release of data and information value in industrial economic activities. It encompasses the entire process from data collection, storage, processing, analysis to application, and is crucial for emerging fields like industrial internet and smart manufacturing [1][12]. Market Overview - The market size of China's industrial big data industry is projected to grow from 40 billion yuan in 2018 to 137.3 billion yuan by 2024, with a compound annual growth rate (CAGR) of 22.82%. By 2025, it is expected to reach 154.3 billion yuan [1][12]. - The growth is driven by the increasing demand for industrial big data in manufacturing, energy, and transportation sectors, alongside advancements in technologies such as big data, AI, edge computing, and real-time analysis [1][12]. Industry Policies - The government has implemented various policies to promote the development of industrial big data, including the "Digital Transformation Implementation Plan for the Electronic Information Manufacturing Industry" issued in May 2025, which emphasizes the integration of advanced computing, intelligent control, and big data technologies [5][6]. Industry Chain - The industrial big data industry chain consists of three segments: upstream (data visualization, data centers, cloud computing), midstream (industrial big data services), and downstream (application fields such as aerospace, medical devices, and new energy vehicles) [7][8]. Data Center Market - The data center market in China is expected to grow from 87.8 billion yuan in 2019 to 304.8 billion yuan by 2024, with a CAGR of 28.26%. This growth is supported by national policies promoting new infrastructure and digital transformation [9][10]. Industry Development Trends - The evolution of industrial big data will transition from descriptive analysis to decision-making intelligence, integrating edge computing and AI for real-time data processing and autonomous optimization [16]. - There will be a shift from data silos to value network integration, enabling trusted data sharing across the entire supply chain through technologies like privacy computing and blockchain [17]. - The focus will move from process optimization to the digitalization and reuse of industrial knowledge, creating standardized knowledge components that can be rapidly deployed across different production lines [18].
中经评论:世界在不确定性中寻找新平衡
Jing Ji Ri Bao· 2025-12-30 00:32
即将过去的2025年,世界经济面对美国加征关税冲击、地缘冲突持续与金融波动加剧等多重压力, 仍展现出坚韧底色,增长有望超过预期。然而,全球经济前景依然脆弱,贸易保护主义、人工智能(AI) 泡沫与债务压力如重重暗礁,随时可能阻滞复苏进程。展望2026年,世界经济需要在持续的不确定性中 寻找新平衡。 2025年,不同经济体增长呈现显著分化态势。国际货币基金组织(IMF)、世界银行、经济合作与发 展组织在各自的研究报告中不约而同地有所提及。 IMF在10月的《世界经济展望报告》中将全年经济增长预期上调至3.2%,但预计2025年美国经济增 速仅为2.0%,2026年可能进一步下滑至1.7%。欧元区与日本则面临外部需求疲软、结构改革停滞等长 期挑战,2025年增速分别维持在1.3%和1.1%的低位。 这一年,全球贸易在逆境中悄然重塑。世贸组织数据显示,2025年上半年,全球货物贸易量同比增 长4.9%,全年预期上调至2.4%。推动力不仅来自美国关税前的"囤货效应",更得益于发展中国家间的 贸易扩张——亚洲贡献了全球贸易增量的主要份额,中国在电子产品、绿色产业等领域的出口韧性尤其 突出。 这种分化映射出全球经济格局的重 ...
评论 | 世界在不确定性中寻找新平衡
Xin Lang Cai Jing· 2025-12-30 00:29
Economic Overview - The global economy in 2025 is expected to show resilience despite challenges such as U.S. tariffs, ongoing geopolitical conflicts, and increased financial volatility, with growth projected to exceed expectations [1] - The International Monetary Fund (IMF) has raised its global economic growth forecast for 2025 to 3.2%, while the U.S. economy is expected to grow only 2.0% in 2025 and further decline to 1.7% in 2026 [1] - Emerging markets and developing economies are projected to be the main drivers of global growth, with a forecasted growth rate of 4.2% in 2025, particularly strong in ASEAN countries at 4.7% [1] Trade Dynamics - Global trade is undergoing a transformation, with a 4.9% year-on-year increase in global goods trade volume in the first half of 2025, and an annual forecast adjustment to 2.4% [2] - The growth in trade is attributed to both pre-tariff stockpiling in the U.S. and expanding trade among developing countries, with Asia contributing significantly to global trade growth [2] - The trade system faces deep challenges, including unilateral tariffs and geopolitical conflicts, which have created significant turmoil in the past 80 years [2] Technological and Green Transition - AI and green transitions are identified as dual driving forces for economic growth, with AI investments expected to boost global trade by 34% to 37% by 2040 [3] - However, there are risks associated with AI investments, which may resemble the internet bubble if returns do not meet expectations [3] - China's investments in renewable energy technologies have reduced global clean energy costs, with the penetration rate of new energy vehicles exceeding 50% [3] China's Economic Stability - China's GDP growth in the first three quarters of 2025 is reported at 5.2%, with the total expected to surpass 140 trillion yuan for the year, driven by consumption and manufacturing investment [4] - The country is enhancing its macroeconomic stability through policies aimed at high-level opening up and expanding cooperation, including the launch of the Hainan Free Trade Port [4] - China's focus on AI and biotechnology in its 14th Five-Year Plan is expected to provide market opportunities and technology transfer for developing countries [4] Future Outlook - The resilience of the global economy in 2025 is attributed to technological breakthroughs and the rise of emerging economies, with a need to find balance amid uncertainties in 2026 [4] - Potential market volatility may arise from trade policy disagreements, U.S. debt risks, and uncertainties in Japan's stimulus plans, but opportunities remain in AI applications and green technology [4]
高投集团“十四五”迈出高质量发展新步伐
Xin Hua Ri Bao· 2025-12-29 23:22
高投毅达研究院研讨会 五年来,在省委、省政府及省国资委的坚强领导下,高投集团牢牢把握"做政府实施产业转型升级的专 业化抓手和市场化有竞争力的品牌投资机构"这一战略定位,以深化改革激发内生动力,以政策性引 导、专业化落地与市场化运作的有机统一把握发展航向,坚定立足私募股权与创业投资主业,全力实 施"一二三四五"发展战略,筑牢防控"六大风险"的堤坝。五年间,集团核心功能显著增强,核心竞争力 稳步提升,高质量发展的步履铿锵有力,为"强富美高"新江苏现代化建设注入了澎湃的资本动能。 锻强综合实力 在服务大局中彰显专业价值 时间是伟大的书写者,记录下开拓者奋进的历程。"十四五"以来,高投集团整体经营实现量质齐升的稳 健增长。 截至目前,集团资产规模达615.75亿元,净资产495.59亿元,累计管理资本规模达3107亿元,分别较"十 三五"末大幅增长219.31%、341.27%和276%。这不仅是一组跃动的数字,更是集团综合实力与市场地位 跨越式提升的鲜明注脚。集团在2022年、2023年、2024年连续3年荣获全省高质量发展综合考核(省属 企业)第一等次,这既是省委、省政府对集团服务全省发展大局成效的充分肯定,也是 ...
锚定AI赋能智慧学校建设 创新探索数字化育人新范式
Nan Fang Du Shi Bao· 2025-12-29 23:14
Core Insights - The article highlights the transformative impact of artificial intelligence (AI) on education, particularly through the initiatives taken by Shenzhen Nanshan District Wenli Experimental School, which integrates AI and big data into its educational ecosystem [2][3]. Digital Transformation Practices - The school has initiated a comprehensive digital transformation towards smart education, establishing a robust digital education infrastructure that supports high-speed, secure, and ubiquitous access [2]. - Key components include the deployment of a 10 Gbps fiber backbone network and Wi-Fi 6 for enhanced teaching interaction and management, alongside the creation of a private cloud platform for unified resource storage and sharing [2]. Teaching and Learning Innovations - AI technology is being integrated deeply into classroom practices, evolving from an "auxiliary tool" to an "intelligent teaching partner," thereby enhancing the entire teaching process [3]. - The school has developed a precise teaching loop that includes data collection, learning diagnosis, personalized intervention, and effect tracking, promoting a tailored teaching approach [3]. Student Development and Evaluation - The school utilizes an AI-enabled platform to foster comprehensive student development, implementing a gamified model for visualizing growth and establishing an immediate feedback loop for evaluations [4]. - The evaluation system incorporates diverse metrics and flexible rewards, enhancing the overall educational experience [4]. Research and Professional Development - A comprehensive support system for teaching research has been established, focusing on evidence-based practices that promote teacher professional growth and improve teaching quality [4]. - The school has achieved significant recognition, with over 300 awards at various levels for teaching and research, indicating a strong commitment to educational excellence [4]. Smart Management and Governance - The school has created an integrated intelligent management model that enhances governance efficiency by breaking down information silos and transitioning to data-driven decision-making [5]. - Utilizing big data, the school generates reports on class performance and teacher development, aiding in resource allocation [5]. Achievements and Future Directions - The school has received multiple accolades, including recognition from UNESCO and various local educational authorities, establishing itself as a model for smart school construction [5]. - Future plans include further integration of AI in education to cultivate innovative talents suited for the intelligent era and contribute to a high-quality educational system [5].
【工会创新实践调研行】创新实践破解工会资产确权的历史遗留问题
Xin Lang Cai Jing· 2025-12-29 19:18
(来源:工人日报) 针对这一问题,广州市总工会一方面通过建立健全资产清查与确权登记通报机制,将确权完成情况纳入 基层单位运营业绩考核评价体系,传导责任压力。另一方面,注重典型引路,选取具有代表性的案例进 行重点突破,形成示范效应。例如,针对员村工人文化宫因规划手续不全导致确权停滞的项目,市总组 织专人协助查阅档案、走访核实、协调部门,最终补齐手续,完成登记,鼓舞了基层单位的信心。 在推进过程中,市总引入咨询、测绘、评估等第三方专业团队,帮助基层单位克服专业知识不足、人手 紧张等困难。同时,提供从资料整理到登记申请的全链条支持,并设立专项经费保障相关支出,有效打 消了基层单位的畏难情绪,让大家认识到确权工作是厘清家底、夯实管理基础、实现资产保值增值的内 在需要。基层单位逐渐从"怕麻烦""拖着看"转变为"主动推""抢着办",主体意识和能动性显著增强。 规范监管流程,提升监管水平 "以前资产信息散落在各种纸质档案里,查找难、核实难、更新更难。"一位基层工会工作人员回忆道。 规范资产监管是确保工会资产安全、提升资产效用的关键。面对资产数量庞大、情况各异、信息分散的 传统工会资产监管痛点,广州市总工会着力在监管的精细化 ...