Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials

Y Yang Huang (Guizhou Provincial Key Laboratory of Innovation and Manufacturing for Pharmaceuticals, School of Pharmacy) J Jiayu Cao X Xuehua Li Q Qing Yang (Department of Hepatic Surgery and Liver Transplantation Centre) Q Qianqian Xie X Xi Liu (School of Chemistry and Chemical Engineering) X Xiaoming Cai (Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College, Soochow University) J Jingwen Chen (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention Technology, School of Environmental Science and Technology) H Huixiao Hong R Ruibin Li (Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Suzhou Medical College, Soochow University)

Article Details

Volume / Issue Vol. 16, Issue 1
Published March 20, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (10)

Y

Yang Huang

Guizhou Provincial Key Laboratory of Innovation and Manufacturing for Pharmaceuticals, School of Pharmacy

J

Jiayu Cao

X

Xuehua Li

Q

Qing Yang

Department of Hepatic Surgery and Liver Transplantation Centre

Q

Qianqian Xie

X

Xi Liu

School of Chemistry and Chemical Engineering

X

Xiaoming Cai

Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College, Soochow University

J

Jingwen Chen

Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention Technology, School of Environmental Science and Technology

H

Huixiao Hong

R

Ruibin Li

Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Suzhou Medical College, Soochow University