Winner Certificate presented to BGI-Research and Zhejiang Lab for the Innovate for Impact Use Case from the International Telecommunication Union.
AI for Good Global Summit is the United Nations’ leading platform on artificial intelligence. The Innovate for Impact Use Case Award recognizes AI applications that address real-world challenges and contribute to the United Nations Sustainable Development Goals. Genos stood out for its potential to advance precision medicine, multi-omics research, and accessible healthcare innovation through the integration of AI and large-scale genomic data.
As one of the world’s first 10-billion-parameter human genome foundation models, Genos represents an important step toward applying AI to understand complex biological systems. The model is designed to support ultra-long genomic sequence analysis, cross-modal data integration, and single-base-resolution interpretation, offering new possibilities for research in disease mechanisms, rare disease screening, oncology, and personalized healthcare.
BGI-Research took part in the summit to showcase its latest progress in AI for life sciences and its commitment to making advanced life science technologies more accessible. The summit brought together policymakers, international organizations, scientists, medical experts, and technology leaders to explore how AI can be safely and practically deployed for the benefit of humanity.
During the summit, Liu Shiping, Chief Scientist of Brain Science at BGI-Research, shared the institute’s vision for genomic foundation models and their role in advancing precision medicine. He noted that genomic AI models have significant potential in both research and clinical applications, particularly as they continue to evolve in long-sequence modeling, multi-omics integration, and safe deployment in healthcare settings.
On July 9, at a workshop hosted by Zhejiang Lab, Liu presented the latest progress of the Genos model and introduced OneGenome, a new system that deeply integrates Genos with large language model capabilities. The team also demonstrated Genos-powered downstream agents for rare disease screening and precision oncology, highlighting the model’s ultra-long-context analysis and single-base-level recognition capabilities.
The recognition from ITU reflects growing international attention to the role of AI in life sciences and precision medicine. For BGI-Research, the award also marks an important milestone in its continued efforts to develop deployable, inclusive, and responsible AI technologies for global health.
Looking ahead, BGI-Research will continue working with partners such as Zhejiang Lab to advance foundational AI technologies, reduce barriers to genomic research, and support the broader application of genomic AI in laboratories, clinical settings, and public health systems worldwide.