The established of a machine learning model for predicting the efficacy of adjuvant interferon alpha1b in patients with advanced melanoma.

Journal: Frontiers in immunology
PMID: 39600700

Abstract

BACKGROUND: Interferon-alpha1b (IFN-α1b) has shown remarkable therapeutic potential as adjuvant therapy for melanoma. This study aimed to develop five machine learning models to evaluate the efficacy of postoperative IFN-α1b in patients with advanced melanoma.

Authors

  • Linhan Jiang
    Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Ke Su
    Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Yitong Lin
    Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Xianya Zhao
    Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Hengxiang Zhang
    Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Yu Liu
    Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Science, Beijing, China.

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