An interpretable machine learning model using multimodal pretreatment features predicts pathological complete response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma

BackgroundAlthough neoadjuvant immunochemotherapy (nICT) has revolutionized the management of locally advanced esophageal squamous cell carcinoma (ESCC), the inability to accurately predict pathological complete response (pCR) remains a major barrier to treatment personalization. We aimed to develop...

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Bibliographic Details

Published in:	Frontiers in Immunology
Main Authors:	Xueping Wang, Wencheng Tan, Hui Sheng, Wenjia Zhou, Hailin Zheng, Kewei Huang, Jinfei Lin, Songhe Guo, Minjie Mao
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-09-01
Subjects:	esophageal squamous cell carcinoma neoadjuvant immunochemotherapy pathological complete response machine learning model interpretability
Online Access:	https://www.frontiersin.org/articles/10.3389/fimmu.2025.1660897/full