Deep learning-guided adjuvant chemotherapy selection for elderly patients with breast cancer.

Journal: Breast cancer research and treatment
PMID: 38294615

Abstract

PURPOSE: The efficacy of adjuvant chemotherapy in elderly breast cancer patients is currently controversial. This study aims to provide personalized adjuvant chemotherapy recommendations using deep learning (DL).

Authors

  • Enzhao Zhu
    School of Medicine, Tongji University, Shanghai, China.
  • Linmei Zhang
    Department of Periodontics, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China.
  • Jiayi Wang
    Department of Statistics, Texas A&M University.
  • Chunyu Hu
    College of Computer Science, Nankai University, Tianjin 300350, China.
  • Huiqing Pan
    School of Medicine, Tongji University, Shanghai, China.
  • Weizhong Shi
    Shanghai Hospital Development Center, Shanghai, China.
  • Ziqin Xu
    Department of Biobehavioral Sciences, Columbia University, New York, NY, United States of America.
  • Pu Ai
    School of Medicine, Tongji University, Shanghai, China.
  • Dan Shan
    Department of Biobehavioral Sciences, Columbia University, New York, NY, United States of America.
  • Zisheng Ai
    Department of Medical Statistics, Tongji University School of Medicine, Shanghai 200092, China.

Keywords

External Resources

Popular Topics
Recent Journals