Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study

Wang, Shuo; Yu, He; Gan, Yuncui; Wu, Zhangjie; Li, Encheng; Li, Xiaohu; Cao, Jingxue; Zhu, Yongbei; Wang, Liusu; Deng, Hui; Xie, Mei; Wang, Yuanyong; Ma, Xidong; Liu, Dan; Chen, Bojiang; Tian, Panwen; Qiu, Zhixin; Xian, Jinghong; Ren, Jing; Wang, Kun; Wei, Wei; Xie, Fei; Li, Zhenhui; Wang, Qi; Xue, Xinying; Liu, Zaiyi; Shi, Jingyun; Li, Weimin; Tian, Jie

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Elsevier, The Lancet Digital Health, 5(4), p. e309-e319, 2022

DOI: 10.1016/s2589-7500(22)00024-3

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Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study

Journal article published in 2022 by Shuo Wang, He Yu, Yuncui Gan, Zhangjie Wu, Encheng Li, Xiaohu Li, Jingxue Cao, Yongbei Zhu, Liusu Wang, Hui Deng, Mei Xie, Yuanyong Wang, Xidong Ma, Dan Liu, Bojiang Chen and other authors.

This paper is made freely available by the publisher.

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Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study