Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors.

Journal: World journal of gastroenterology
PMID: 39494097

Abstract

BACKGROUND: Although immune checkpoint inhibitors (ICIs) have demonstrated significant survival benefits in some patients diagnosed with gastric cancer (GC), existing prognostic markers are not universally applicable to all patients with advanced GC.

Authors

  • Hong-Wei Li
    Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
  • Zi-Yu Zhu
    Department of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
  • Yu-Fei Sun
    Department of Anesthesia, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
  • Chao-Yu Yuan
    Department of Computer Science and Technology, Heilongjiang University, Harbin 150000, Heilongjiang Province, China.
  • Mo-Han Wang
    Department of Computer Science and Technology, Heilongjiang University, Harbin 150000, Heilongjiang Province, China.
  • Nan Wang
    Department of Gastroenterology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
  • Ying-Wei Xue
    Department of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China. xueyingwei@hrbmu.edu.cn.

Keywords

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