Luo Yuemei participated in the 20th Sino-US Frontier Science Symposium

The 20th China-U.S. Frontier Science Symposium, jointly organized by the Chinese Academy of Sciences and the U.S. National Academy of Sciences, was held from November 18 to 21 at the Friendship Palace of the Friendship Hotel in Beijing. Nearly a hundred young scientists from more than 40 Chinese and American research institutions and universities, including the Chinese Academy of Sciences, Tsinghua University, Peking University, Harvard University, MIT, and Lawrence Berkeley National Laboratory, conducted in-depth exchanges and interdisciplinary discussions on related cutting-edge science and technology topics. The conference carried out in-depth exchanges and discussions around topics such as artificial intelligence promoting scientific development, connectomics of neurological diseases, exoplanets, in situ structural cell biology, nanopore biotechnology analysis, ocean carbon dioxide removal, future-oriented quantum materials, and using new mathematical tools to understand artificial intelligence. As one of the important platforms for interdisciplinary exchanges between the academies of sciences of the two countries and even for young scholars from both countries, the Sino-US Frontier Science Symposium organizes interdisciplinary discussions around different themes in the field of natural sciences. Scientists from both sides learn from each other in the field of basic research through the symposium, which enhances friendship and broadens their horizons, and plays a positive role in strengthening exchanges between the young scientific communities of the two countries. Luo Yuemei was invited to attend the meeting of the “Artificial Intelligence Promotes Scientific Development” branch and gave a poster presentation on “Automated OCT-Based Retinal Disease Detection: Innovations and Applications in Semi-Supervised Deep Learning” on behalf of the Key Laboratory of Intelligent Medical Image Computing.

Translated from the original Chinese source.

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