A machine learning model for predicting anatomical response to Anti-VEGF therapy in diabetic macular edema.

Journal: Frontiers in cell and developmental biology
Published Date:

Abstract

PURPOSE: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in patients with diabetic macular edema (DME).

Authors

  • Wenrui Lu
    Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
  • Kunhong Xiao
    Department of Optometry, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China.
  • Xuemei Zhang
    School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
  • Yuqing Wang
    College of Marine Technology and Environment, Dalian Ocean University, Dalian, Liaoning Province, China.
  • Wenbin Chen
  • Xierong Wang
    School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
  • Yunxi Ye
    School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
  • Yan Lou
    Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, Zhejiang University, Hangzhou 310000, Zhejiang, China.
  • Li Li
    Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.

Keywords

No keywords available for this article.