Ms. Gong Yingying Appointed as Member of the Advisory Committee of the Institute of Digital Medicine at City University of Hong Kong

At the recent Annual Meeting of the Institute of Digital Medicine of City University of Hong Kong (hereinafter referred to as “CityU”), Ms. Gong Yingying, Founder and Chairwoman of Yidu Tech, was formally appointed as a member of the Institute’s Advisory Committee. Since the establishment of the Institute in April last year, Yidu Tech has maintained a close partnership with it. Ms. Gong’s appointment marks a further deepening of collaboration between the two parties.

The Institute of Digital Medicine at CityU is dedicated to advancing multidisciplinary collaboration in digital health, exploring frontier scientific research paradigms, and safeguarding patients’ long-term well-being—objectives that closely align with Yidu Tech’s development philosophy. As the founder and strategic leader of Yidu Tech, Ms. Gong has long championed the systematic application of artificial intelligence and big data technologies across clinical care, scientific research innovation, and public health governance. She has also remained actively engaged in international dialogue and collaboration. As a Young Global Leader, she has been invited on multiple occasions to participate in the World Economic Forum, contributing to global discussions on technology governance and innovation ethics. She has led in-depth collaborations with leading international research institutions, including the Agency for Science, Technology and Research (A*STAR) of Singapore, and successfully advanced the implementation of national-level digital health initiatives such as Brunei’s BruHealth platform, translating cutting-edge research efficiently into real-world applications. These experiences position her beyond the role of a conventional entrepreneur, endowing her with a distinctive capability to bridge the gap between academia and industry and to connect innovation resources across the Asia-Pacific region and globally.

This appointment reflects the academic community’s strong recognition of Yidu Tech and Ms. Gong Yingying’s innovative practices in the field of AI-enabled healthcare. Going forward, Ms. Gong will serve as a critical bridge between industrial practice and academic research, fostering deeper and more substantive integration of industry, academia, and research.

1. Core Engine: YiduCore Driving Panoramic Innovation

Mr. Xu Jiming, Chief Executive Officer and Co-founder of Yidu Tech, also attended the meeting and delivered a keynote address.

He noted that global healthcare systems are facing profound structural challenges, including accelerating population aging, an increasing burden of chronic diseases, and persistent inequities in the allocation of medical resources. The way forward, he emphasized, lies in a fundamental paradigm shift—from one-size-fits-all standardized care to personalized precision medicine, and from passive treatment to proactive health management. Mr. Xu asserted that the core engine driving this transformation is the deep integration of big data and artificial intelligence.

Guided by this forward-looking perspective, Yidu Tech has, since its inception, focused on building an “AI medical brain” known as YiduCore. According to Mr. Xu, YiduCore is a medical intelligent data infrastructure that integrates advanced technologies such as natural language processing, knowledge graphs, machine learning, and cloud computing, and has evolved into the era of large language models and intelligent agents.

“The essence of YiduCore is a dynamic closed-loop system in which data-driven algorithms empower real-world scenarios, and those scenarios in turn continuously enrich the data,” Mr. Xu explained. “It serves as the intelligent foundation underpinning all of our solutions.” As of September 30, 2025, YiduCore has cumulatively processed and analyzed nearly 7 billion authorized medical records, covering more than 10,000 hospitals, with its disease knowledge graph essentially encompassing all known diseases.

Leveraging YiduCore, Yidu Tech has established three core business segments and achieved notable results:

• AI for Medical: Supporting clinical care, hospital management, and scientific research, with intelligent solutions deployed in 127 leading hospitals across China;
• AI for Life Science: Enabling drug research and development, delivering approximately 30 percent reductions in clinical trial costs and around 40 percent gains in efficiency, serving more than 350 pharmaceutical companies;
• AI for Care: Providing services across inclusive health insurance programs in 13 cities in 5 provinces, and launching chronic disease management solutions such as digital therapeutics for diabetes, benefiting nearly 100,000 patients to date.

2. Practical Implementation: Scalable Enablement from Diseases and Hospitals to Cities and Nations

Through a series of progressively structured case studies, Mr. Xu systematically illustrated how healthcare system transformation can be advanced at multiple levels:

• Advancing Disease Research: Data Platforms Enabling Scientific Breakthroughs
  At the level of disease-focused research, Mr. Xu demonstrated how data integration and AI empowerment can reshape research and clinical pathways for major diseases. He cited the data platform supporting the National Clinical Research Center for Hematologic Diseases as an example. The platform connects one central hub with 26 sub-centers, integrating multi-source clinical data and constructing a translational knowledge graph to provide a unified intelligent foundation for innovative research and clinical trials in hematologic diseases. To date, the platform has supported the publication of more than 130 high-quality academic papers.
• Intelligent Hospital Transformation: Building an AI-Driven Healthcare Ecosystem
  At the institutional level, Mr. Xu highlighted a deep collaboration with a specialized oncology hospital in southern China to illustrate how AI can be comprehensively embedded into core clinical workflows. Built on a data middle platform and an AI middle platform, Yidu Tech has developed a physician Copilot that has increased medical record documentation efficiency by 90 percent. The accuracy of its intelligent agent for TNM staging assessment is comparable to that of senior attending physicians. The solution empowers clinicians across scenarios, achieving nearly 1,000 daily invocations, covering 70 percent of medical staff, and enabling the hospital’s transition from experience-based decision-making to data-driven intelligent decision-making.
• Empowering Public Systems: Intelligent Upgrades from City Governance to National Health
  At the city level, Yidu Tech integrates data across medical care, pharmaceuticals, and health insurance to build a city-wide intelligent health data foundation, supporting a comprehensive public health system spanning infectious disease surveillance and early warning, population health management, and inclusive insurance operations. At the national level, the BruHealth platform developed for Brunei now covers more than 85 percent of the country’s population. Having evolved from an emergency response system into a sustainable national health platform encompassing chronic disease management and health promotion, it enhances the precision and foresight of health governance while empowering individuals to take an active role in managing their health.

“Over the next decade, the focal point of competition in AI-enabled healthcare will be the capability for intelligent agent collaboration,” Mr. Xu concluded. He emphasized that AI is set to transform from a single-scenario assistive tool into a deeply collaborative partner across the entire healthcare value chain. Yidu Tech looks forward to working with more researchers and practitioners to explore the frontiers of AI in healthcare, enabling precision medicine to transcend geographic and systemic boundaries and to benefit every individual, everywhere.