树兰医疗创始人兼总裁郑杰表示，这一成果与推崇的计算医学发展推进形成协同，更是树兰集团"双轮 驱动"战略的不断落地。 郑杰表示，计算医学不仅仅是传统意义上AI医疗工具的简单组合，更是一种系统性、机制驱动的精准 医疗范式，它囊括了多尺度生命机理建模、统计学习、超级计算及医学知识工程。目前的医疗AI是计 算医学的一个"子集"，是基于现有数据和认知训练出知识大脑，以优化决策体系；而计算医学的最终目 标是实现"生命仿真"，前提之一是为医疗数据流通铺路搭桥。 来源：环球网 近日，树兰医疗集团对外宣布，正式发布自主研发的AI健康智能体Dr.Shu（树医生）。该智能体内嵌了 覆盖诊前、诊中、诊后的一系列医疗服务能力，并创新性引入"健康管家"模块，通过持续跟踪用户的健 康数据生成个性化健康管理方案。 ...

Group 1: Economic and Policy Updates - The Federal Reserve has maintained the federal funds rate at 4.25% to 4.50% for the fifth consecutive time, reflecting a cautious approach amid economic uncertainties and inflation risks [2] - The Chinese government is set to open applications for childcare subsidies in late August, with a comprehensive rollout expected by August 31 [3] Group 2: Corporate News - Aikang Group has filed a lawsuit against an individual questioning the company's cancer risk assessment practices, emphasizing the importance of trust in the health examination industry [6][7] - McDonald's plans to sell all its properties in Hong Kong, with an estimated market value of nearly 3 billion HKD, while restaurant operations will remain unaffected [20] Group 3: Industry Insights - NVIDIA's CEO predicts that the number of millionaires created in the AI sector over the next five years will surpass those created in the internet sector over the past 20 years, highlighting AI's potential as a significant equalizer in technology [16] - TreeLan Medical has launched an AI health assistant, aiming to advance the field of computational medicine and achieve the ultimate goal of "life simulation" [18]

Group 1 - The core viewpoint of the articles revolves around the advancements in AI technology within the healthcare sector, particularly through the initiatives of Shulan Medical, which has launched its AI health assistant, Dr. Shu, and is actively pursuing a strategy focused on computational medicine [2][10][19] - Shulan Medical has established strategic partnerships with various data intelligence companies to enhance its smart healthcare initiatives and implement its AI future medical strategy [2][10] - The founder and president of Shulan Medical, Zheng Jie, emphasizes the importance of computational medicine as a systematic and mechanism-driven paradigm for precision healthcare, which integrates multiple disciplines including statistical learning and AI technology [2][4][19] Group 2 - The concept of computational medicine is gaining traction globally, with initiatives like the EU's virtual human twin database and the NIH's Bridge2AI project in the US, which focus on multi-modal data construction to support precision medicine [3][4] - Shulan Medical's roadmap for computational medicine includes steps from data standardization to life modeling, aiming to create a patient-centered digital twin for personalized medical decision-making [3][4][5] - The development of electronic medical records (EMR), electronic health records (EHR), and personal health records (PHR) is crucial for building a comprehensive data foundation for computational medicine [5][6] Group 3 - The Open Medical and Healthcare Alliance (OMAHA), founded by Zheng Jie, aims to promote machine-readable standards for healthcare data, which is essential for achieving data interoperability and supporting the development of computational medicine [6][7] - OMAHA has introduced the HiTA technology stack, which enhances the interoperability of medical data and provides a high-quality standardized data foundation for personal health databases [7][10] - The transition from static data to dynamic data is highlighted through the development of personal digital twins (PDT), which aim to closely replicate human life through comprehensive information modeling [7][10] Group 4 - The rapid development of medical AI has led to its integration into various healthcare applications, with a focus on improving hospital operational efficiency, patient services, and research capabilities [10][11] - Shulan Medical's AI health assistant, Dr. Shu, is designed to enhance patient interaction and streamline the healthcare process by providing pre-diagnosis, diagnosis assistance, and post-treatment follow-up [12][13] - The digital twin concept is being explored to provide remote medical services, allowing for more personalized and efficient healthcare delivery [12][14] Group 5 - Shulan Medical's "All in Technology" strategy aims to reconstruct future healthcare models through computational medicine, integrating AI and wearable technologies to offer comprehensive health services [17][19] - The upcoming AI Future Health Medical Center is set to combine various healthcare technologies to create a seamless health service experience for users [18][19] - The focus on building a feedback loop between AI healthcare capabilities and real-world data is essential for enhancing the accuracy and accessibility of AI-driven medical services [18][19]

Group 1 - The core viewpoint of the articles emphasizes the transformative potential of "Artificial Intelligence+" in reshaping innovation paradigms and fostering a new era of human-machine-environment collaboration [1][2][3] - Experts highlight that "Artificial Intelligence+" is shifting from replacing physical labor to augmenting intellectual labor, fundamentally changing production, lifestyle, and learning methods [1][2] - The development of AI technologies, such as AlphaFold, demonstrates the capability of AI in scientific research, enabling precise predictions and data-driven methodologies [1] Group 2 - The integration of human, machine, and environmental systems is identified as the future direction for AI development, with a focus on leveraging human strategic planning alongside machine computational power [2] - In the medical field, "Artificial Intelligence+" is being redefined to enhance biopharmaceutical competitiveness through a system-oriented approach, emphasizing the potential of computational medicine [2] - The acceleration of foundational AI models is leading to a concentration among major platform companies, while startups are focusing on vertical applications, indicating a trend towards specialization in AI development [3]

Core Insights - The understanding of aging is evolving from a linear perspective to a dynamic interplay of genetics, lifestyle, and environmental exposure, with significant individual differences in organ age among peers [1] - The market is shifting from vague concepts of overall youthfulness to targeted organ-specific care, addressing core pain points such as liver detoxification, collagen loss in skin, and testosterone decline in men [2] Group 1: Company Innovations - LAIFE, a Boston-based life sciences AI formulation brand, is leveraging AI technology to decode the molecular mechanisms of organ aging, transitioning from "experience medicine" to "computational medicine" [2][3] - The RevOrgan AI formulation platform developed by LAIFE utilizes deep learning algorithms and organ aging models to create dynamic formulations, significantly reducing R&D time and enhancing product efficacy and stability [3][5] Group 2: Product Development - LAIFE has established a product matrix that includes various targeted formulations such as LAIFE "乐净肺" for lung health, LAIFE "乐轻肝" for liver support, and LAIFE "红宝瓶II" for ovarian health, addressing aging from multiple dimensions [5] - The AI system employed by LAIFE can dynamically simulate metabolic responses in organs, allowing for precise selection and optimization of ingredients through high-performance computing [5] Group 3: Research and Development - LAIFE's research foundation is supported by its parent company, RegenerativeBio, which integrates AI with biotechnology to enhance product precision and effectiveness [7] - The team at RegenerativeBio includes top scientists from prestigious institutions, ensuring rigorous testing and validation of LAIFE's products to meet international standards [7] Group 4: Future of Aging Science - LAIFE is pioneering a new paradigm in aging science, transforming aging from an inevitable fate into a decodable and potentially reversible process, enabled by advanced AI computational capabilities [9] - The company is actively promoting the integration of AI in aging research, hosting conferences and supporting academic initiatives to advance the field [7][9]

Core Insights - The rapid development of generative AI is profoundly reshaping the healthcare industry landscape by enabling predictive health management throughout an individual's life cycle [1] - Shulan Medical Group aims to integrate healthcare services, medical research, and education into a technology-driven medical group [1][3] - The founder, Zheng Jie, emphasizes the importance of technology in healthcare, having a background in computer science and a strong influence from early internet developments [2][3] Company Development - Over the past decade, Shulan Medical has successfully established itself as a leading private healthcare provider, creating a comprehensive ecosystem that includes medical services, education, and research [4] - The concept of "computational medicine" has significantly influenced the company's development, focusing on the integration of data-driven research and AI methodologies [5][6] Technological Integration - Shulan Medical is actively applying computational medicine techniques in clinical practices, aiming to enhance surgical success rates and patient safety through precise calculations [6] - The company plans to develop a comprehensive health management system that integrates multi-omics data, clinical data, and wearable device data [6] AI and Future Outlook - The company has launched an AI health assistant, Dr. Shu, which streamlines patient interactions and enhances healthcare management efficiency [8][9] - Zheng Jie envisions AI as a foundational element in the healthcare sector, aiming to provide comprehensive services from prevention to recovery through digital platforms [10] - Shulan Medical is committed to continuous innovation and investment in early-stage life science projects to maintain competitiveness in the healthcare market [10]

树兰医疗是一家集健康医疗服务、医学科研、医学教育为一体的科技型医疗集团。十余年前，当郑杰决定创立树兰医疗时，其脑海中已有一个清晰的愿景： 打造一家类似于美国梅奥医疗集团的中国品牌，既能治病救人，又能探索生命科学的奥秘。这种"双轮驱动"的理念，源于他对医学本质的深刻理解。 "真正有水平的医疗品牌，都是研究型医疗。优秀的医生既是临床专家，也是科学家。他们在治疗患者的同时，不断积累经验、发现新案例、思考新方 法。"郑杰讲道，正是基于这种认识，树兰医疗从创立之初就定位为有科技属性、研究型属性的健康医疗品牌。 在一个医疗资源紧张、技术变革加速的时代，中国民营医疗正在经历前所未有的挑战与机遇。作为科技型医疗集团的代表之一，树兰医疗创始人兼总裁郑杰 带领团队十余年来坚持"既治病救人，又探索生命科学"的双轮驱动战略，正在打造一个兼具临床医疗健康服务与生命科学研究的创新医疗生态系统。金融界 通过与郑杰的深度对话，得以一窥这家医疗集团如何将科技与医疗深度融合，推动中国医疗健康产业的创新发展。 "研究型医疗"理念重塑医疗服务边界 成立十年来，树兰医疗形成了独特的双曲线协同发展规划：其第一增长曲线是以健康医疗服务为核心的基础业务，第 ...