Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID-19.

Journal: Clinical and translational medicine
PMID:

Abstract

No abstract available for this article.

Authors

  • Zhaoming Zhou
    Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Xiang Zhou
    Department of Sociology, Harvard University, Cambridge, Massachusetts, USA.
  • Liming Cheng
    Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
  • Lei Wen
    Department of Economics and Management, North China Electric Power University, Baoding, Hebei, China.
  • Taixue An
    Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Heng Gao
    Department of Neurosurgery, Jiangyin Affiliated Hospital of Southeast University School of Medicine, Jiangyin, China.
  • Hongrong Deng
    Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Qi Yan
  • Xinlu Zhang
    Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Youjiang Li
    Department of Clinical Laboratory, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China.
  • Yixing Liao
    Department of Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Xin-Zu Chen
    Department of Gastrointestinal and Hernia Surgery, The Second People's Hospital of Yibin - West China Yibin Hospital, Sichuan University, Yibin, China.
  • Bin Nie
    Department of Laboratory Medicine, The Second People's Hospital of Yibin - West China Yibin Hospital, Sichuan University, Yibin, China.
  • Jie Cheng
    State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China.
  • Guanhua Deng
    Department of Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
  • Shengqiang Wang
  • Juan Li
    Department of Hygienic Inspection, School of Public Health, Jilin University 1163 Xinmin Street Changchun 130021 Jilin China songxiuling@jlu.edu.cn li_juan@jlu.edu.cn jinmh@jlu.edu.cn +86 43185619441.
  • Hanqi Yin
    South China Institute of Biomedicine, Guangzhou, China.
  • Mengxian Zhang
    Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Linbo Cai
    Department of Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
  • Lei Zheng
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin 300060, China.
  • Minglun Li
    Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany.
  • Bleddyn Jones
    Gray Laboratory, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.
  • Longhua Chen
    Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Amir Abdollahi
    Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
  • Meijuan Zhou
    Department of Radiation Medicine, School of Public Health, Southern Medical University, Guangzhou, China.
  • Ping-Kun Zhou
    Department of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China.
  • Cheng Zhou
    Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.