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Source: People’s Daily. On April 11, Tsinghua University and Yiduyun joined forces once again to launch an important basic research project, with the aim of addressing the challenges related to infrastructure development in the growth of the smart healthcare industry. That morning, a press conference on an important project in medical artificial intelligence titled “Setting Sail for the 14th Five-Year Plan: Advancing New Infrastructure” was held at Tsinghua University. This conference was hosted by the Joint Research Center for Intelligent Autonomous Medical Systems of Tsinghua University (Department of Automation) and MeduCloud (Beijing) Technology Co., Ltd. (hereinafter referred to as the “Joint Research Center for Intelligent Autonomous Medical Systems”). Under the witness of Li Qing, deputy director of the Department of Automation at Tsinghua University, and Gong Rujing, founder and chairman of Yiduyun, relevant technical leaders from Tsinghua University and Yiduyun signed and launched three important collaborative projects on site. These efforts are aimed at accelerating the development of key core technologies, supporting the construction of smart healthcare infrastructure, speeding up the transformation and application of research results, and promoting the transformation and upgrading of the healthcare industry. Fan Wenhui from Tsinghua University and Yan Jun from Yiduyun signed the agreement on site as representatives of their respective parties. Through the Joint Research Center for Smart and Autonomous Medical Systems, Yiduyun and the relevant departments at Tsinghua University have reached agreements on three important research projects: “Research on Federated Learning and Optimization of Security Computing Performance,” “Research on a Blockchain-Based Mechanism for the Storage, Tracking, and Sharing of Medical Data,” and “Development of an Agent-Based Platform for Simulating the Spread of Epidemics and Related Policy Studies.” This project was overall organized by Fan Wenhui, a professor in the Department of Automation at Tsinghua University and director of the Joint Research Center for Intelligent Autonomous Medical Systems. The project team consists of experts from the Department of Automation and the Department of Computer Science at Qingxue University, as well as from the Beijing Information Science and Technology **Research Center, in addition to several artificial intelligence experts from Yiduyun. The leaders of both parties took a group photo with the experts from the research team. Yan Jun, an expert from the research team and the lead artificial intelligence scientist at MedUCloud, said that innovative breakthroughs in the medical field require infrastructure to support them. Future major breakthroughs in medicine will inevitably rely on larger-scale multicenter studies, as well as corresponding data tracing and sharing mechanisms. On this basis, by leveraging the advantages of domestic data resources, it is possible to overcome many technical challenges that may pose obstacles in areas such as clinical treatment protocols and the development of innovative drugs. To better address these challenges, Tsinghua University and Yiduyun have jointly launched research projects on \"Research on Federal Learning and Security Computing Performance Optimization\" and \"Research on a Blockchain-Based Mechanism for the Verification, Tracking, and Sharing of Medical Data\", aiming to provide a foundation for achieving innovative breakthroughs. In addition to federated learning and secure computing, experts in the research team believe that blockchain, as a mechanism for monitoring and providing authentication protection in multi-party secure computing, its decentralized and tamper-proof characteristics will further enhance the secure storage and traceability of such computations. It holds great value for medical clinical trials as well as real-world studies. “The research on a blockchain-based mechanism for the storage, verification, tracing, and sharing of medical data is aimed at medical research scenarios, exploring how blockchain technology can be used to store, authorize, process, and utilize medical data in order to ensure the authenticity and security of such data, as well as to guarantee that all data processing and authorizations can be traced. Furthermore, to effectively control the COVID-19 pandemic, it is particularly important to use simulation technology for tracking the progression of the outbreak, monitoring medical resources, and tracing transmission pathways; this provides a foundational environment that supports sustainable innovation. In the view of the experts in the research team, China has achieved phased success in epidemic prevention and control, but it still faces new challenges in the area of refined management in specific scenarios such as vaccination going forward. “The project titled “Agent-based Simulation Platform for Epidemic Spread and Policy Research” aims to explore, under the premise that the epidemic can be brought under control, how policy recommendations can be formulated based on the results of simulations for different vaccination rates. This approach seeks to enable refined management in various scenarios, thereby providing a more reliable foundation for public health safeguards that support innovation and sustainable social development in various fields. Regarding the three key research areas, Fan Wenhui believes that fundamental research in the field of artificial intelligence focuses on data, algorithms, and computing power. Overcoming the core technical challenges in artificial intelligence can not only provide new approaches for the healthy and rapid development of smart healthcare and medical AI, but it can also help to transform research achievements in this field into practical applications. This partnership between the two sides can jointly promote technological innovation, accelerate the development of key core technologies, and drive the transformation and upgrading of the healthcare industry. On September 16, 2018, under the advocacy and presence of experts such as Wu Cheng (in the middle), a pioneer in the field of automation and an academician of the Chinese Academy of Engineering, the Joint Research Center for Intelligent Autonomous Medical Systems was officially established at Tsinghua University. Gong Rujing, founder and chairman of Yiduyun, said that Yiduyun’s mission is to “ensure that value-oriented precision medicine benefits everyone.” In the future, Yiduyun will continue to leverage artificial intelligence to promote technological and business integration, fully exploit the potential of AI applications in healthcare, strengthen its resources and research and development efforts, and use technology for good and wisdom for progress, thereby contributing to the improvement of people’s health and well-being. Source: Jintai Information