香港交易及結算所有限公司、香港聯合交易所有限公司與證券及期貨事務監察委員會對本申請版本的內容 概不負責，對其準確性或完整性亦不發表任何意見，並明確表示概不就因本申請版本全部或任何部分內容 而產生或因倚賴該等內容而引致的任何損失承擔任何責任。 Shenzhen Mindray Bio-Medical Electronics Co., Ltd. 深圳邁瑞生物醫療電子股份有限公司 （「本公司」） （於中華人民共和國註冊成立的股份有限公司） 的申請版本 警告 本申請版本乃根據香港聯合交易所有限公司（「聯交所」）及證券及期貨事務監察委員會（「證監會」）的要求 而刊發，僅用作提供資料予香港公眾人士。 本申請版本為草擬本，其內所載資料並不完整，亦可能會作出重大變動。 閣下閱覽本文件，即代表 閣 下知悉、接納並向本公司、本公司的聯席保薦人、整體協調人、顧問或承銷團成員表示同意： 本公司招股章程根據香港法例第32章《公司（清盤及雜項條文）條例》送呈香港公司註冊處處長登記前，本 公司不會向香港公眾人士提出要約或邀請。倘在適當時候向香港公眾人士提出要約或邀請，有意投資者務 請僅依據於香港公司註冊處處長註冊的本公司招股章程作出投資決 ...

Core Insights - The article emphasizes the ongoing push for digitalization in healthcare and the establishment of county-level medical communities, guided by national policies aimed at enhancing healthcare services through advanced technologies like AI, big data, and 5G [1][4] Group 1: Policy and Industry Trends - The release of the "Guidelines for Informationization Functions of Tight-knit County Medical Communities" in March 2025 outlines the integration of new technologies to improve digital services and governance in healthcare [1] - There is a growing demand for computational power, network transmission, and scenario adaptation in the healthcare sector, driven by the need for refined operations in tertiary hospitals and resource integration in county medical communities [1] Group 2: Huawei's Solutions - Huawei has launched a "3+18" product solution, including AI electronic medical record systems and high-quality hospital networks, to address the needs of tiered diagnosis and intelligent upgrades in healthcare [1][3] - The AI electronic medical record solution has shown significant improvements in patient satisfaction (up 50%) and quality control compliance (up 70%) in a case study involving a large hospital with approximately 3,000 beds [3] Group 3: Addressing Challenges in Grassroots Healthcare - Huawei's "County Medical Community Solution" aims to tackle issues such as high costs, talent shortages, and implementation difficulties in grassroots healthcare, creating a resource-sharing system across county, township, and village levels [4] - The solution enhances diagnostic capabilities for over 3,000 common diseases, thereby improving the diagnostic skills of grassroots healthcare providers [4] Group 4: Real-World Applications - The Shenzhen Zhong Hospital's Guangming District has successfully implemented Huawei's AI smart hospital network, ensuring stable operations for mobile rounds, remote consultations, and robotic surgeries, which enhances both staff efficiency and patient experience [5] Group 5: Future Outlook - Huawei aims to empower the future of healthcare through technology, collaborating with industry partners to develop solutions that meet clinical needs and promote the widespread adoption of smart healthcare [7]

Core Insights - Shenzhen People's Hospital and Huawei signed a cooperation framework agreement to build an AI hospital and a smart "one hospital multiple zones" system, aiming to enhance the digital intelligence level of the hospital and set a benchmark for smart hospitals in China [1][3] Group 1: Partnership Details - The signing marks a new phase of collaboration, focusing on strengthening digital infrastructure, building AI hospitals, and creating a self-innovative smart medical technology application demonstration benchmark [3] - Huawei's medical division highlighted its global leading technology advantages in AI system architecture and engineering capabilities, emphasizing the transformation of technology into clinical value [3] Group 2: Technological Innovations - A distributed handheld AI ultrasound system based on 5.5G network was launched, integrating 5.5G, cloud storage, cloud computing, and AI large model technology, aimed at solving the "last mile" issue in grassroots diagnosis and treatment [5] - The system features zero latency and high reliability for real-time transmission of high-quality ultrasound images, with built-in AI algorithms for automatic identification of lesions and normal tissues, enhancing diagnostic efficiency and quality [5] Group 3: Future Directions - Huawei will focus on the needs of Shenzhen People's Hospital to further integrate AI and big data into hospital information construction, aiming to create a high-level smart hospital model that serves the Greater Bay Area and the global market [5]

Group 1 - China-based medical device manufacturer Mindray Medical (300760.SZ) plans a secondary listing in Hong Kong, aiming to raise at least $1 billion, with Huatai Securities and JPMorgan preparing the stock issuance [1] - Mindray Medical is a leading global supplier of medical devices and solutions, boasting the most comprehensive product line among domestic peers, with products like monitors, anesthesia machines, ventilators, defibrillators, blood cell analyzers, and ultrasound systems ranking in the top three globally [1] - The company's medical ecosystem is continuously deepening in clinical applications, with plans to launch the Qiyuan Critical Care Model in 2024, which is expected to expand into emergency, anesthesia, imaging, and laboratory departments, fully integrating digital intelligence in areas such as assisted diagnosis, report generation and review, clinical case studies, knowledge retrieval, and teaching research [1]

Core Viewpoint - China-based medical device manufacturer Mindray Medical (300760.SZ) plans to conduct a secondary listing in Hong Kong, aiming to raise at least $1 billion, with Huatai Securities and JPMorgan involved in the stock issuance process [1] Company Overview - Mindray Medical is a leading global supplier of medical devices and solutions, boasting the most comprehensive product line among domestic peers, including monitors, anesthesia machines, ventilators, defibrillators, blood cell analyzers, and ultrasound devices, all ranking in the top three in global market share [1] Product Development - The company is deepening its medical ecosystem focused on critical care, with plans to launch the Qiyuan Critical Care Model in 2024, which is expected to expand into emergency, anesthesia, imaging, and laboratory departments, applying digital intelligence across various fields such as assisted diagnosis, report generation and review, clinical case studies, knowledge retrieval, and teaching research [1]

Core Insights - The conference showcased Shengxiang Biotechnology's breakthroughs in medical digitization and its innovative technologies that inject new momentum into the global healthcare industry [1][6] Group 1: AI and Technology Innovations - Shengxiang's advanced product development manager introduced AI-driven automation in PCR testing, enhancing the Taq enzyme's interference resistance, achieving 100% detection effectiveness in complex samples, validated by over 2 million clinical data [2] - The company implemented a three-tier resource allocation algorithm using a combination of rule engines and machine learning, optimizing patient triage across hospitals, communities, and home settings, thus reducing costs and time for patients [2] Group 2: Comprehensive Detection Solutions - Shengxiang launched multiple disruptive products to establish a comprehensive detection system covering hospitals, grassroots, and home settings [3] - The molecular intelligent detection assembly line offers automated, unattended processing, enabling immediate testing and multi-sample analysis, enhancing hospital testing efficiency [3] - The FASTASeq 300 high-throughput gene sequencer, a domestic desktop sequencing platform, provides advantages in versatility, speed, and cost, making precise gene testing accessible to county-level medical institutions [3] Group 3: Advanced POCT Products - The Q-POC 2.0 product focuses on severe infection detection, delivering results within 30 minutes with a detection limit of 250 copies/mL, crucial for urgent patient care [4] - The SUREXEVO series, the world's first AI-based molecular POCT product, supports parallel detection of multiple pathogens, significantly improving respiratory disease testing efficiency [4] Group 4: Collaborative Ecosystem Development - Shengxiang collaborates with industry partners like Meituan and JD Health to create a comprehensive detection service ecosystem covering testing, diagnosis, medication, and management [5] - The company initiated a project to enhance infectious disease control capabilities in county and community healthcare, aiming to establish a collaborative system for initial screening, precise diagnosis, and health management [6]

Core Viewpoint - The company is addressing significant financial losses and proposing measures to enhance its operational efficiency and expand its business scope in response to the challenges faced in the photovoltaic industry [4][5][7]. Group 1: Financial Situation - As of December 31, 2024, the company's undistributed profits amounted to -238,824,801.42 yuan, with unremedied losses exceeding one-third of the paid-in capital of 306,282,731.00 yuan [4]. - The primary reason for the losses is attributed to a mismatch in supply and demand within the photovoltaic industry, leading to a decline in gross profit margins [4]. Group 2: Proposed Measures - The company plans to enhance cost optimization and expense control after divesting from the photovoltaic business, focusing on improving profitability [5]. - The strategy includes advancing medical information technology towards platformization, regionalization, and intelligence, while exploring new business opportunities through innovative technology applications [5]. Group 3: Business Scope Expansion - The company proposes to expand its business scope to include the research and development of intelligent robots, manufacturing and sales of service consumer robots, and sales of intelligent unmanned aerial vehicles [6][7]. - The changes in the business scope will require approval from the market supervision administration and will be reflected in the company's articles of association [7].

Overview - The company, Suzhou Mediston Medical Technology Co., Ltd., reported an unallocated loss of -238,824,801.42 yuan as of December 31, 2024, which exceeds one-third of its paid-in capital of 306,282,731.00 yuan [1][2] Loss Reasons - The significant loss is attributed to a mismatch in supply and demand within the photovoltaic industry, leading to a decline in industry chain prices and market demand, which resulted in a decrease in gross profit margin for the photovoltaic business [1] Response Measures - Following the formal divestment from the photovoltaic business, the company plans to enhance cost optimization and expense control to improve profitability [2] - The company aims to focus on "medical digitization," promoting the development of medical information technology towards platformization, regionalization, and intelligence [2] - The company will strengthen its core business in medical information and assisted reproductive services while exploring new business development opportunities through innovative technology applications [2] - A market-oriented approach will be adopted to advance new product research and development, increase market expansion efforts, and solidify the company's market position and brand advantage [2]