Asia University, committed to advancing the application of artificial intelligence in biomedical research, officially signed a memorandum of understanding (MOU) on the 13th. University President Jeffrey J. P. Tsai represented the university in the signing with Professor Hajej Hashi, co-founder of NucleicAI—a company derived from the Broad Institute of MIT and Harvard—and Director of the International Center for Genetic Diseases at Harvard Medical School. The collaboration will jointly develop and deploy a Life Science Data Platform, integrating world-leading AI and genomics technologies with Asia University’s research capabilities, aiming to establish a next-generation health data ecosystem.

Professor Hashi emphasized that Taiwan possesses world-class advantages in biomedical research and academia. This collaboration will focus on creating a sovereign AI-driven biomedical data platform, accelerating progress in predictive medicine, preventive healthcare, and precision medicine, while promoting more cost-effective drug development.

Professor Sinclair highlighted that this forward-looking partnership will fundamentally transform how data is used to advance human health and longevity research. He expressed great enthusiasm for collaborating with Asia University to demonstrate the limitless potential of combining artificial intelligence with life sciences.

The collaboration will center on the NucleicAI platform to construct a large-scale life science data infrastructure, while advancing research cooperation in genomics, epigenomics, AI analytics, and human health and longevity. Institutions under the “Central Asia United University” system, including Asia University, Asia University Hospital, and China Medical University Hospital, will progressively integrate and securely manage life science and health-related data on this platform. The initiative is designed to facilitate cross-disciplinary research, privacy-preserving analysis, AI-driven insights, and broader engagement with international academic and industry partners.

President Tsai emphasized that the implementation of this project will strictly adhere to international data governance and regulatory standards to ensure data sovereignty and security. The initiative underscores the critical importance of establishing a safe and intelligent biomedical data infrastructure in the AI era for public health, medical research, and national competitiveness.

Professor Hashi further noted that Taiwan’s leading biomedical and academic ecosystem provides a strong foundation for creating a self-governed AI biomedical data platform, which will accelerate predictive, preventive, and precision medicine while supporting economically efficient drug development.

Professor Sinclair added that this visionary and forward-looking partnership will revolutionize the use of data to advance human health and longevity research. He expressed excitement about collaborating with Asia University to showcase the immense potential created by integrating artificial intelligence with life sciences.

The cooperation will leverage the NucleicAI platform as its core to build a robust life science data platform and promote research in genomics, epigenomics, AI analytics, and human health and longevity. Units within the Central Asia United University system—including Asia University, Asia University Hospital, and China Medical University Hospital—will gradually integrate and securely manage life science and health-related data on the platform, fostering cross-disciplinary collaboration, privacy-protective analytics, AI-driven insight generation, and broader international industry-academic-research partnerships.

President Tsai reiterated that the project will fully comply with international data governance and legal regulations throughout implementation, ensuring data sovereignty and security. The initiative highlights the vital importance of building a safe and intelligent biomedical data infrastructure in the AI era for public health, medical research, and national competitiveness.

Resource: 亞洲大學與NucleicAI簽署合作備忘錄 打造AI健康數據生態系