Unraveling the adverse outcome pathways of metabolic dysfunction-associated steatotic liver disease triggered by environmental mixtures via biological knowledge-driven machine learning.
Saved in:
| Title: | Unraveling the adverse outcome pathways of metabolic dysfunction-associated steatotic liver disease triggered by environmental mixtures via biological knowledge-driven machine learning. |
|---|---|
| Authors: | Fu, Jiaming1,2, Qiao, Guojie1,3, Ma, Kerong1,2, Jia, Jinhao1,2, Li, Honghui1,2, Bai, Zeyang1,2, Xiong, Limeng1,2, Zhang, Yuhan1,2, Geng, Xiaozhe1,2, Duan, Hongju1,2, Wang, Yuxi1,2, Gao, Chunqing1,2, Li, Xiaoyu1,2, Zhao, Yi1,2, Hu, Hao4, Wang, Guangjun4, Zhang, Rui1,2, Di, Yihong1,2, 393696287@qq.com, Yang, Huifang1,5, joyceyhf@163.com, Sun, Jian1,2, 20180016@nxmu.edu.cn |
| Source: | Journal of Hazardous Materials; Aug2026, Vol. 514, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 03043894 |
|---|---|
| DOI: | 10.1016/j.jhazmat.2026.142869 |
