At 14:00 on May 17, 2023, Professor Bo Xiaochen from the Military Medical Research Institute of the Academy of Military Sciences was invited by Professor Huang Hui to come to the University of Chinese Academy of Sciences to carry out "Frontiers of Intelligent Analysis of Biomedical Data-From Multi-omics Integration to Interpretable Mining" Thematic lectures are held in Jiaoyi 114.

     Multi-omics data fusion analysis is an important support for current basic and translational research in life sciences. It faces challenges such as wide data space and strong heterogeneity. The report covers four aspects: multi-component fusion analysis technology and application, multi-component fusion to multi-attribute fusion, data mining based on interpretable AI, cross-scale integration and digital twin

    The report system sorts out the algorithmic ideas and technical approaches of the current fusion analysis of multi-omics data, and extends it to the fusion of multi-attributes. In addition, the particularity of biomedicine requires its intelligent system to have strong explainability. The report summarizes the ways to realize the interpretable analysis of artificial intelligence data analysis, and gives examples. Finally, the report also briefly introduces the frontiers of intelligent analysis of biomedical data in the future—cross-scale integration and digital twinning.

    Bo Xiaochen is a military medical researcher and doctoral supervisor of the Academy of Military Sciences, a member of the Science and Technology Committee of the Academy, a deputy director of the Intelligent Health and Bioinformatics Committee of the Chinese Society of Automation, and a standing member of the Network Pharmacology Committee of the Chinese Pharmacological Society. The current research direction is biomedical big data processing and analysis, biomedical artificial intelligence technology. As the person in charge and the main researcher, he successively undertook projects such as national key research and development projects, national major new drug creation, 863, and major research projects of the National Natural Science Foundation of China, and published first and corresponding author papers in journals such as Nature, Nature Machine Intelligence, Nature Microbiology, and Molecular Cel1. 100 Yu Pian has been selected into the "Young and Middle-aged Science and Technology Leading Talents" of the Ministry of Science and Technology, the "Ten Thousand Talents Program" science and technology leading talents of the Organization Department of the Central Committee of the Communist Party of China, and the top talents of military disciplines. support.