Unraveling the genetic and molecular landscape of sepsis and acute kidney injury: A comprehensive GWAS and machine learning approach.

Abstract

Authors

• Sha Yang
  Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
• Jing Guo
  College of Chemical Engineering, Department of Pharmaceutical Engineering, Northwest University, Xi'an, Shaanxi, China.
• Yunbiao Xiong
  Department of Neurosurgery, Guizhou Provincial People's Hospital, Guiyang, China.
• Guoqiang Han
• Tao Luo
• Shuo Peng
  Department of Neurosurgery, Guizhou Provincial People's Hospital, Guiyang, China.
• Jian Liu
  Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
• Tieyi Hu
  Department of Neurology, the Affiliated Dazu Hospital of Chongqing Medical University , China.
• Yan Zha
  Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.
• Xin Lin
  Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
• Ying Tan
• Jiqin Zhang
  Department of Anesthesiology, Guizhou Provincial People's Hospital, Guiyang, China. Electronic address: zhangjiqin@gz5055.com.

Keywords

External Resources