A deep learning–based digital biopsy for predicting early recurrence in gastric cancer

P Ping’an Ding S Sheng Chen (Beijing Frontier Research Center for Biological Structures, State Key Laboratory of Membrane Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.) H Honghai Guo S Sen Yang X Xiyue Wang X Xiao Han J Jiaxuan Yang H Haotian Wu J Jiaxiang Wu Y Yuan Tian W Wenqian Ma X Xiaolong Li (Chinese Academy of Sciences) Z Zhenjiang Guo (State Key Laboratory of Organic−Inorganic Composites) R Renjun Gu L Lilong Zhang N Ning Meng Y Yueping Liu L Lingjiao Meng Q Qun Zhao (State Key Laboratory of Medical Proteomics, National Chromatographic Research & Analysis Center, Chinese Academy of Sciences Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences)

Article Details

Volume / Issue Vol. 17, Issue 1
Published April 15, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (19)

P

Ping’an Ding

S

Sheng Chen

Beijing Frontier Research Center for Biological Structures, State Key Laboratory of Membrane Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.

H

Honghai Guo

S

Sen Yang

X

Xiyue Wang

X

Xiao Han

J

Jiaxuan Yang

H

Haotian Wu

J

Jiaxiang Wu

Y

Yuan Tian

W

Wenqian Ma

X

Xiaolong Li

Chinese Academy of Sciences

Z

Zhenjiang Guo

State Key Laboratory of Organic−Inorganic Composites

R

Renjun Gu

L

Lilong Zhang

N

Ning Meng

Y

Yueping Liu

L

Lingjiao Meng

Q

Qun Zhao

State Key Laboratory of Medical Proteomics, National Chromatographic Research & Analysis Center, Chinese Academy of Sciences Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences