The workshop "AI for Biomedical Big Data: From Theory to Application" organized by Li Lei Daomin (Professor, Academy of Mathematics and Systems Science, CAS), Wan Lin (Professor, Academy of Mathematics and Systems Science, CAS), was successfully held at the Tianyuan Mathematics Research Center, Kunming, from November 9 to 15, 2025.
The continuous emergence of large-scale biomedical data has provided significant opportunities for researching key scientific issues such as gene regulation, mechanisms of complex diseases, and precision medicine. Artificial Intelligence (AI), represented by deep learning technologies, is profoundly influencing and even transforming the fields of mathematics, biology, and medicine. This workshop aimed to explore how to integrate AI technologies with mathematical theories to enhance the interpretability of biomedical big data, thereby providing insights into life mechanisms and guiding biomedical practices.
The workshop focused on the theory, algorithms, and applications of AI, fostering a fusion of dynamical systems, statistics, and optimization. It addressed core mathematical challenges in biomedical big data modeling, such as causal inference, the curse of dimensionality, and data integration. Key topics covered included:
1. AI for Biomedical Data
2. AI for Single-cell and Spatial Data
3. AI for Cancer Biology
4. Analysis of Complex Traits
5. Causal Machine Learning
6. Geometrical and Topological Data Analysis
7. Time-series Data Analysis
The event attracted over 40 participants, ranging from leading researchers to PhD students. Attendees represented prestigious domestic and international institutions, including the Chinese Academy of Sciences, Peking University, Tsinghua University, Shanghai Jiao Tong University, Southern University of Science and Technology, South China University of Technology, Inner Mongolia University, Zhengzhou University, Chongqing Medical University, and The University of Tokyo (Japan).
The program featured 35 academic talks, with presentations ranging from 20 to 60 minutes. These were followed by vibrant and engaging discussion sessions. During the free discussion periods, speakers and attendees held in-depth conversations on a wide range of related topics, fostering a dynamic exchange of ideas.
By gathering experts and scholars to discuss these frontier strategic research issues, the workshop successfully promoted the integration of mathematics and AI in the biomedical field and provided a strong impetus for future interdisciplinary research.