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Updated: Feb 1, 2026

Modeling Oral-Esophageal Squamous Cell Carcinoma in 3D Organoids
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可解释的机器学习模型用于预测 neoadjuvant 治疗和食道切除术后食道状细胞癌的术后并发症

Chuanquan Lin1, Xian Gong1, Rui Tong1

  • 1Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Medical University, Fuzhou, China; National Key Clinical Specialty of Thoracic Surgery, Fuzhou, China; Clinical Research Center for Thoracic Tumors of Fujian Province, Fuzhou, China.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
|January 30, 2026
PubMed
概括

一个新的机器学习模型准确地预测了接受新辅助疗法和食道切除术的食道状细胞癌 (ESCC) 患者的术后并发症. 该工具通过有效地分层患者的风险,有助于个性化的术后管理.

关键词:
食管状细胞癌的癌症消化管切除术是指消化管切除术.机器学习是机器学习.新辅助疗法是一种新辅助疗法.术后并发症 术后并发症风险分层是指风险的分层.

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