BIBE-AIPM' 24: Artificial intelligence and precision medicine

With the deepening of biomedical research, huge amounts of data have been accumulated in the field of bioinformatics, including multi-dimensional and multi-level biological big data such as genome, transcriptome, proteome and metabolome. These big data provide rich resources for in-depth study of life phenomena, disease mechanisms, drug research and development. In recent years, artificial intelligence technology is constantly penetrating into various fields of medical research, and the introduction of artificial intelligence algorithms enables us to process a large number of biological information data more quickly and accurately, and improve research efficiency. At the same time, it is also playing an increasingly important role in the fields of medical image analysis and precision medicine. Therefore, BIBE has set up a special branch of "Artificial Intelligence and Precision Medicine" to promote exchanges and cooperation in this field

BIBE-AIPM' 24 topics include but are not limited to

1. Medical image analysis
2. Gene editing technology
3. Gene expression analysis
4. Precision medicine and drug development
5. Genomics, proteomics and metabolomics
6. Cell therapy and regenerative medicine
7. Microbiome research
8. Artificial Intelligence and Brain science
9. Variation detection and protein structure prediction

BIBE-AIPM' 24 organizer/session chair

Prof Ming Chen, Zhejiang University
Professor Ming Chen-leader of bioinformatics at Zhejiang University. In 2004, he graduated from Bielefeld University in Germany with a PhD in bioinformatics. He has been engaged in the field of bioinformatics and systems biology for a long time, and is committed to the integration and mining of omics big data, non-coding RNA bioinformatics research, biological network modeling and precision medicine scientific research