36氪获悉，AI4S企业哲源科技近日完成亿元A1轮融资，由国科投资（中国科技产业投资管理有限公 司）领投，泽源基金、睿智医药跟投。 国内AI制药赛道历经起伏，当前正逐步回归理性。伴随着分子虚筛、自由能预测、抗体结构优化等 AIDD工具走向成熟，药物分子的设计难度正在下降，但首尾两端（靶点发现和临床试验）的挑战，尚 未因技术发展而产生本质改变。 成熟靶点的分子开发进入红海，新靶点的发现面临枯竭，药企在漫长的临床试验环节需要投入巨额经 费，但仍面临"九死一生"的失败风险。因此，借助AI技术，挖掘新机制、评估新靶点、提高临床试验效 率和成功率，成为当下产业界的重要关注点。 理解疾病，破解新药开发首尾困境 与众多聚焦于"AI+分子"的公司不同，哲源科技自身定位为"AI4S+疾病"公司，其打造的"计算医学"平 台，尝试以新范式赋能药物创新，特别是新机制新靶点发现、临床试验环节。 哲源科技创始人、CEO张春明认为，得益于行业多年的发展，如今设计出"合格且可专利"的分子，已不 是掣肘难题；当下药物创新最大挑战在于深层的疾病理解。 "药物研发的第一性原理应是治病，在立项之初，系统地理解疾病、确定靶点和疾病之间的因果关系， 以 ...

从海康威视（002415）等行业巨头各擅胜场，到DeepSeek搅动全球AI产业的"一池春水"，近年来，浙大 系创业者以独特的姿态崛起，在人工智能、高端装备、生命健康等前沿赛道"深度求索"，成为全球科技 创新浪潮中不可忽视的力量。 在浙江大学"求是创新"精神的浸润下，浙大系创业者多以务实、专业为底色，秉持超越短期功利主义的 价值取向。树兰医疗集团创始人、董事长郑杰便是这一群体的典型代表之一。他掌舵的树兰医疗从创立 之初便确立"双轮驱动"科技基因底座：既要治病救人，实现医疗到健康的服务闭环，也要搭建以科技为 基底的生命科学探索平台。 历经十年积淀，树兰医疗已成长为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。当生成式AI席卷各行各业，站在全新的起点上，郑杰再度引领树兰医疗踏上一条更具挑战却充满 想象空间的路："All in 科技"，打造AI未来医院，重新定义医疗服务边界。 跨界破局，构建可进化的数字基座 在一众技术类创业者中，郑杰的跨界之路颇具代表性。1994年，他进入浙江大学混合班（现竺可桢学 院），两年后选择计算机作为专业方向，加入当时浙江大学最早的人工智能研究所，让他早早便感受到 了科技 ...

Core Insights - The ideal vision of Shulan Medical Group is a dynamic pursuit of better healthcare, deeply rooted in the principle of "life first" and aiming for "health equity" [1] Group 1: Medical AI Implementation - Shulan Medical has developed multiple medical AI applications, focusing on four main areas: smart management, smart services, smart healthcare, and smart research [2] - The smart management sector is identified as the primary scene for global medical AI implementation, while the smart services sector is advancing rapidly, allowing direct voice communication between hospitals and users [2] - As of October this year, Shulan Medical has extensively deployed AI health assistants and tools across various departments, including pathology and post-hospital health tracking [2] Group 2: Founder’s Background and Vision - The rapid development of Shulan Medical in the medical AI sector is attributed to the founder Zheng Jie's unique background in both computer science and healthcare [5] - Zheng Jie aims to create a Chinese brand akin to the Mayo Clinic, focusing not only on treating diseases but also on exploring life sciences and building an ecosystem that integrates cutting-edge technology with real medical scenarios [5] Group 3: Computational Medicine and Digital Twin - Shulan Medical is actively exploring digital transformation through "Computational Medicine," which aims to model life systems and integrate various advanced technologies [6] - The ultimate goal of Computational Medicine is to establish a Personal Digital Twin (PDT) for precise and personalized medical decision-making [7] - Zheng Jie emphasizes the importance of complete health data for each individual, which is crucial for providing accurate medical services [8] Group 4: Future Outlook - The future of healthcare services will focus on a "system-centered" treatment paradigm, which involves comprehensive analysis of a patient's overall condition to create personalized treatment plans [8] - The shift from disease treatment to health management reflects a deeper transformation in the industry, highlighting the balance between precision and moderation in medical interventions [8]

Core Insights - The Life Valley (International) Bioengineering Innovation Center has been launched, focusing on the integration of life sciences and future industry technologies, particularly in cell and gene therapy and AI healthcare [1][2] - The center aims to create a full lifecycle ecosystem from research and development to industrialization, leveraging top global research resources and industry chain enterprises [2] Group 1 - The launch event featured the signing of agreements by 15 companies from the biotech and innovative drug development sectors, marking the first batch of enterprises to join the innovation center [1] - A dual-driven model of "industry + capital" was established through fund signing ceremonies, providing financial support for the long-term development of the innovation center [1] - The "Innovation Zhuang Coffee" brand was introduced to create an open resource platform, promoting a collaborative innovation ecosystem [1] Group 2 - The center is positioned as a strategic hub for the transformation of cutting-edge technologies in life sciences, contributing to the construction of Beijing's international science and technology innovation center [2] - Experts at the subsequent seminar discussed topics such as AI's role in enhancing public hospital development, reshaping pharmaceutical research and development, and driving virtual clinical trials through computational medicine [2] - The event attracted participation from representatives of universities, research institutions, industry associations, financial institutions, and enterprises, highlighting the collaborative nature of the initiative [2]

Core Insights - The article highlights the journey of Zhu Jian, who transitioned from the TMT industry to the healthcare sector, founding Shulan Healthcare, which has become a technology-driven medical group redefining social healthcare possibilities [1][14]. Group 1: Company Development - Shulan Healthcare has evolved into a technology-driven medical group with a vision of inclusivity, leveraging computational medicine to innovate within the healthcare industry [1][12]. - The company has established a non-profit organization, the Open Medical and Healthcare Alliance (OMAHA), to promote medical data standardization and open sharing [5]. - Shulan Healthcare has developed a digital service ecosystem and launched the Aladdin user service system, achieving integrated online and offline services [5][10]. Group 2: Technological Innovations - The company has introduced the AI health assistant Dr. Shu, which has been rapidly implemented in hospitals, showcasing its role as a pioneer in the healthcare technology sector [2][6]. - Shulan Healthcare is focusing on the "All in Technology" strategy, aiming to reconstruct future medical models through computational medicine and develop AI future hospitals [6][12]. - The company is collaborating with various data intelligence firms to deepen its smart healthcare layout and promote the implementation of AI in future medical strategies [8][10]. Group 3: Educational Initiatives - Shulan Healthcare has partnered with Zhejiang Shuren University to establish the Shulan International Medical College, offering courses in computational medicine to cultivate talent in this emerging field [8][10]. - The establishment of the Zhejiang Province "Artificial Organs and Computational Medicine Key Laboratory" marks a significant milestone in the company's research and development efforts [13]. Group 4: Future Vision - The company aims to create a comprehensive health database that spans the entire lifecycle, providing dynamic data sources for digital twins [13][14]. - Shulan Healthcare envisions a future where AI and healthcare services are deeply integrated, enhancing accessibility and efficiency in medical care [14][15]. - The next decade will focus on advancing AI-driven healthcare solutions, with the ultimate goal of simulating life through computational medicine [12][14].

Core Insights - The article highlights the journey of Zhu Jian, who transitioned from the TMT industry to the healthcare sector, founding Shulan Healthcare, which has become a technology-driven medical group redefining social healthcare possibilities [1][2][3] Group 1: Company Development - Shulan Healthcare has evolved into a technology-driven medical group with a vision of inclusivity, leveraging computational medicine to innovate within the healthcare industry [1][4] - The company has developed the AI health assistant Dr.Shu, which has been successfully implemented in hospitals, showcasing its technological leadership in the medical field [2][6] - Shulan Healthcare has established a non-profit organization, OMAHA, to promote medical data standardization and open sharing, and launched an international multidisciplinary collaborative diagnosis platform [5][10] Group 2: Technological Integration - The concept of computational medicine, which views the human body as a complex integrated system, has significantly influenced Shulan Healthcare's development [4][9] - The company is focusing on AI-driven healthcare solutions, with plans to develop the Liangzhu Medical Center into an AI future hospital by 2026 [7][12] - Shulan Healthcare is building a comprehensive health database that integrates various health records, supporting the development of personal digital twins for enhanced patient care [14][15] Group 3: Future Vision - The company aims to leverage AI and computational medicine to create a new healthcare paradigm, emphasizing the importance of technology in enhancing healthcare accessibility and efficiency [11][13] - Shulan Healthcare's strategic upgrade to "All in Technology" reflects its commitment to advancing AI in healthcare and establishing a new model for medical services [13][16] - The next decade will focus on deepening the integration of AI and healthcare services, aiming to transform the industry and improve public health outcomes [15][18]

Core Viewpoint - Shulan Medical Group has officially launched its self-developed AI health assistant Dr.Shu, which integrates a comprehensive range of medical services covering pre-diagnosis, diagnosis, and post-diagnosis care [1] Group 1: Product Features - Dr.Shu includes an innovative "health steward" module that continuously tracks user health data to generate personalized health management plans [1] - The AI health assistant represents a significant advancement in the field of computational medicine, which is seen as a systematic and mechanism-driven paradigm of precision medicine [1] Group 2: Strategic Vision - The founder and president of Shulan Medical, Zheng Jie, emphasized that the development of Dr.Shu aligns with the company's "dual-driven" strategy and promotes the advancement of computational medicine [1] - Computational medicine is described as more than just a simple combination of traditional AI medical tools; it encompasses multi-scale life mechanism modeling, statistical learning, supercomputing, and medical knowledge engineering [1] Group 3: Future Goals - The ultimate goal of computational medicine is to achieve "life simulation," with one of the prerequisites being the facilitation of medical data circulation [1]

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]