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 - 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]

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]