Development and validation of a novel artificial intelligence algorithm for precise prediction the postoperative prognosis of esophageal squamous cell carcinoma

Development and validation of a novel artificial intelligence algorithm for precise prediction the postoperative prognosis of esophageal squamous cell carcinoma

Abstract Background Esophageal squamous cell carcinoma (ESCC) is a highly aggressive malignancy, and current postoperative prognostic assessment methods remain unsatisfactory, underlining the urgent to develop a reliable approach for precision medicine. Given the similarities with gametogenesis, can...

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Bibliographic Details
Main Authors:	Zichen Wang, Zhihan Xiao, Tongyu Zhang, Meiyou Lu, Hai Li, Jing Cao, Jianan Zheng, Yichan Zhou, Juncheng Dai, Cheng Wang, Liang Chen, Jing Xu
Format:	Article
Language:	English
Published:	BMC 2025-01-01
Series:	BMC Cancer
Subjects:	Esophageal squamous cell carcinoma Artificial intelligence Machine learning Postoperative prognosis Cancer/testis gene
Online Access:	https://doi.org/10.1186/s12885-025-13520-6
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