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Biomedical data and AI
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作者 Hao Xu Shibo Zhou +27 位作者 Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han 《Science China(Life Sciences)》 2025年第5期1536-1540,共5页
The development of artificial intelligence(AI)and the mining of biomedical data complement each other.From the direct use of computer vision results to analyze medical images for disease screening,to now integrating b... The development of artificial intelligence(AI)and the mining of biomedical data complement each other.From the direct use of computer vision results to analyze medical images for disease screening,to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries,the boundaries of both are constantly expanding,and their connections are becoming closer.Therefore,the theme of the 2024 Annual Quantitative Biology Conference is set as“Biomedical Data and AI”,and was held in Chengdu,China from July 15 to 17,2024. 展开更多
关键词 biomedical data mining biomedical data computer vision artificial intelligence artificial intelligence ai integrating biological knowledge models disease screeningto quantitative biology conference
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