Recently, the Grouphorse Health Data Governance Research Center, jointly established by Shanghai University of Medicine and Health Sciences and Grouphorse Group, was officially inaugurated. The establishment of this center marks a significant step forward in the cooperation between the two parties in health data governance, high-quality data resource development, vertical-scenario platform construction, and interdisciplinary talent cultivation. It also reflects Grouphorse Group's strategic direction of deepening its presence in highly specialized vertical domains.

The unveiling ceremony was held at Shanghai University of Medicine and Health Sciences. Yang Mei, Deputy Secretary of the Party General Branch of the School of Medical Instruments at Shanghai University of Medicine and Health Sciences, Li Ping, Associate Dean of the School, and Guo Yujia, a faculty representative, together with Zhang Li, Chairman of Grouphorse Group, Jiang Feng, Assistant to the Chairman, and project managers Liu Qiangyun and Huang Manli, attended the event and witnessed the launch of this new university-industry cooperation platform.

The establishment of the Grouphorse Health Data Governance Research Center at Shanghai University of Medicine and Health Sciences is not only a significant achievement of deepened collaboration between the two parties, but also a practical step forward in building health data governance capabilities in the context of the digital transformation of the broader health industry.

At present, the development of artificial intelligence is accelerating its shift from general-purpose capability competition to deep vertical industry cultivation. In particular, in high-barrier fields such as medical imaging and healthcare data governance, data quality, domain expertise, scenario-specific standards, and collaborative mechanisms are becoming the critical foundations that determine technological effectiveness and industrial deployability. Unlike general-purpose data processing, health and medical data typically feature high professional thresholds, stringent regulatory requirements, and sensitive application risks, requiring not only deep domain knowledge but also more rigorous data governance and quality control mechanisms. For this reason, the development of high-quality health data resources is becoming an essential pillar driving the digital transformation of the broader health industry.

Against this backdrop, the joint establishment of the research center by Shanghai University of Medicine and Health Sciences and Grouphorse Group carries distinctive scenario-specific advantages and platform value. As a municipal applied undergraduate medical university in Shanghai, Shanghai University of Medicine and Health Sciences has long adhered to an "applied, distinctive, and international" orientation, cultivating a unique educational approach characterized by the integration of medicine and engineering, medicine and elderly care, and medicine and health insurance. The university has built a solid foundation in fields such as medical imaging technology, biomedical engineering, data science and big data technology, and intelligent imaging engineering. Leveraging the university's accumulated expertise in healthcare education, research, and application scenarios, together with Grouphorse Group's practical capabilities in data governance, semantic processing, annotation organization, and compliance quality control, the research center is expected to generate exemplary explorations in health data governance, medical imaging data development, and applied digital talent cultivation.

As a member of the United Nations University Global AI Network, Grouphorse Group has in recent years consistently advanced an integrated development path of "language × AI × compliance," promoting the in-depth expansion of high-quality data annotation, semantic data development, and data governance capabilities into vertical industries. Previously, Grouphorse had jointly established industry-education integration platforms with multiple universities, accumulating considerable experience in professional-scenario data services, talent training mechanisms, curriculum development, and project collaboration. The establishment of the Health Data Governance Research Center with Shanghai University of Medicine and Health Sciences represents an important step in extending these capabilities further into the broader health sector.

From a policy perspective, the establishment of the research center is also highly consistent with national strategies for data as a factor of production, digital talent cultivation, and the development of healthcare big data. As the Digital China and Healthy China initiatives continue to advance, data has become a critical production factor underpinning industry innovation and industrial upgrading. Particularly in the healthcare sector, data governance is no longer just a technical issue but also concerns standard-setting, talent supply, application translation, and industrial collaboration. The launch of the research center is a proactive response to these policy directions and industry trends.

At the ceremony, Zhang Li, Chairman of Grouphorse Group, stated that the digital transformation of the healthcare industry is increasingly reliant on the support of standardized, specialized, and sustainable data governance systems. The joint establishment of the research center with Shanghai University of Medicine and Health Sciences is an important initiative for Grouphorse Group to deepen its data service presence in vertical domains and to promote industry-education integration and collaborative innovation. Looking ahead, Grouphorse will leverage the research center platform, combined with the university's academic strengths and scenario-specific advantages, to steadily advance cooperation in health data governance, high-quality data resource development, and interdisciplinary digital talent cultivation, providing more solid data and talent support for the digital transformation of the broader health industry.

Li Ping, Associate Dean of Shanghai University of Medicine and Health Sciences, stated that the university has always placed great emphasis on deep collaboration with industry enterprises and actively promotes industry-education integration and discipline development. The establishment of the Health Data Governance Research Center marks an important milestone in deepening the university-industry partnership. The university will take this opportunity to further implement collaborative mechanisms, starting with pilot initiatives at the school level and progressively deepening full-chain collaboration across industry-academia-research-application, empowering the university's scientific research innovation and the development of a high-quality interdisciplinary talent cultivation system, and jointly exploring new pathways for university-industry integration and collaborative innovation in the broader health sector.

Witnessed by representatives from both sides, Li Ping, Associate Dean of Shanghai University of Medicine and Health Sciences, and Zhang Li, Chairman of Grouphorse Group, jointly unveiled the Grouphorse Health Data Governance Research Center of Shanghai University of Medicine and Health Sciences.

▲Li Ping, Associate Dean of the School of Medical Instruments at Shanghai University of Medicine and Health Sciences, and Zhang Li, Chairman of Grouphorse Group, shook hands and posed for a group photo.

▲From left to right: Yang Mei, Deputy Secretary of the Party General Branch of the School of Medical Instruments at Shanghai University of Medicine and Health Sciences; Li Ping, Associate Dean of the School; Zhang Li, Chairman of Grouphorse Group; and Jiang Feng, Assistant to the Chairman of Grouphorse Group, posed for a group photo.

After the unveiling ceremony, the two sides also held in-depth discussions on the center's subsequent development plans, core research directions, and pathways for implementing industry-education integration. Representatives of the university accompanied the Grouphorse Group delegation on a tour of the university's teaching and research laboratories, further acquainting them with the school's research layout and educational achievements in the healthcare field, thus laying the groundwork for deeper collaboration going forward.

In the future, the university and the enterprise will build on this center to deepen cooperation in areas including health data governance, data development for high-specialty scenarios such as medical imaging, the establishment of industry-education integration platforms, and the cultivation of applied digital talent. The goal is to more effectively bridge university resources with industry needs and real-world scenarios, thereby providing strong support for the digital transformation of the broader health industry.