Vancouver, Canada, October 8th – The 2nd International Symposium on Computational Mathematics for Cancer (CMMCA2023) took place seamlessly at the Vancouver International Conference Centre in a hybrid format, combining both offline and online participation. As one of the specialized forums of the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2023), the Symposium was organized by the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, with co-organization from United Arab Emirates University, The University of Texas MD Anderson Cancer Center, Beijing Institute of Technology, and the University of Cambridge. The event was co-hosted by Zhuhai Sanmed Biotech Co., Ltd.
Building on the highlights of the previous year, the Symposium featured renowned experts and scholars from academia and industry. They delved into the diagnosis and treatment of cancer from the perspective of computational science, exploring issues related to computational model construction and practical applications. Professor Daniel RACOCEANU, the Chair of the Miccai2020, Professor Shuo Li, the Chair of the Miccai2022 Symposium, and Joint Chairs Dr. Jia Wu and Dr. Xing Lu from Zhuhai Sanmed Biotech, presented insightful reports on topics such as multimodal artificial intelligence for precise tumor diagnosis.
Leading up to the Symposium, the organizing committee collected papers from global experts and scholars. Ultimately, 5 oral presentation papers and 11 poster presentation papers were showcased at the conference. All accepted papers have been included in the Lecture Notes in Computer Science (LNCS) series, published by Springer, with the possibility of being selected for inclusion in the special issue of Computerized Medical Imaging and Graphics (CMIG). Committee members, including Chairman Wenjian Qin, Professor Nazar Zaki, Professor Fa Zhang, Dr. Jia Wu, and Dr. Fan Yang, attended the Symposium, engaging in lively discussions with participants. The LNCS for CMMCA2023 is avaliable online now: https://link.springer.com/book/10.1007/978-3-031-45087-7
Scholars and colleagues from China, the United States, Canada, the United Arab Emirates, the United Kingdom, and other countries and regions participated both online and offline, fostering broader exchanges and collisions of ideas in the realms of academia and thought.
The symposium focused on the theoretical and modeling approaches of mathematics in cancer data analysis. Its successful convening holds significant importance in advancing cutting-edge technologies and promoting their application in cancer data analysis. The symposium is expected to achieve deep interdisciplinary integration, bringing new insights to cancer research and clinical practices.
