Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer

X Xiaoying Wang M Maoteng Duan A Anthony J. Snyder P Po-Lan Su J Jianying Li (Pelotonia Institute for Immuno-oncology, Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute, College of Medicine, The Ohio State University) J Jordan Krull J Jiacheng Jin (Pelotonia Institute for Immuno-oncology, Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute, College of Medicine, The Ohio State University) Y Yang Xu Y Yuhan Sun (Center of Low-Carbon Conversion Science and Engineering) H Hu Chen (Faculty of Chemistry) W Weidong Wu W Weiqing Chen K Kai He C Chi Zhang S Sha Cao J Jing Zhao D Dong Xu (Department of Diagnostic Ultrasound Imaging & Interventional Therapy, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou Institute of Medicine (HIM)) G Guangyu Wang L Lang Li (Theory Department, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany) G Gang Xin D David P. Carbone Z Zihai Li R Richard L. Carpenter Q Qin Ma (School of Chemistry and Molecular Engineering, State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, China)

Article Details

Volume / Issue Vol. 1, Issue 1
Published August 01, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (24)

X

Xiaoying Wang

M

Maoteng Duan

A

Anthony J. Snyder

P

Po-Lan Su

J

Jianying Li

Pelotonia Institute for Immuno-oncology, Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute, College of Medicine, The Ohio State University

J

Jordan Krull

J

Jiacheng Jin

Pelotonia Institute for Immuno-oncology, Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute, College of Medicine, The Ohio State University

Y

Yang Xu

Y

Yuhan Sun

Center of Low-Carbon Conversion Science and Engineering

H

Hu Chen

Faculty of Chemistry

W

Weidong Wu

W

Weiqing Chen

K

Kai He

C

Chi Zhang

S

Sha Cao

J

Jing Zhao

D

Dong Xu

Department of Diagnostic Ultrasound Imaging & Interventional Therapy, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou Institute of Medicine (HIM)

G

Guangyu Wang

L

Lang Li

Theory Department, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany

G

Gang Xin

D

David P. Carbone

Z

Zihai Li

R

Richard L. Carpenter

Q

Qin Ma

School of Chemistry and Molecular Engineering, State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, China