Salivary metabolomics with artificial intelligence-based methods for breast cancer detection and subtype prediction

被引：0
|
作者：
Murata, T. [1 ]
Yanagisawa, T. [2 ]
Kurihara, T. [3 ]
Kaneko, M. [4 ]
Ota, S. [4 ]
Enomoto, A. [4 ]
Tomita, M. [4 ]
Sugimoto, M. [4 ,5 ]
Sunamura, M. [6 ]
Hayashida, T. [7 ]
Jinno, H. [2 ]
Kitagawa, Y. [7 ]
机构：
[1] Natl Canc Ctr, Breast Surg, Tokyo, Japan
[2] Teikyo Univ, Sch Med, Tokyo, Japan
[3] Mito Japanease Red Cross Hosp, Surg, Ibaraki, Japan
[4] Keio Univ, Adv Biosci, Yamagata, Japan
[5] Tokyo Med Univ, Res & Dev Ctr Minimally Invas Therapies, Hlth Promot & Preempt Med, Tokyo, Japan
[6] Tokyo Med Univ, Digest Surg & Transplantat Surg, Hachioji Med Ctr, Tokyo, Japan
[7] Keio Univ, Sch Med, Surg, Tokyo, Japan
来源：
EUROPEAN JOURNAL OF CANCER | 2020年 / 138卷
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
100
引用
收藏
页码：S18 / S18
页数：1
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