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Clinical Machine Learning Model for Predicting Pathological Complete Response in Patients with Esophageal and Gastroesophageal Junction Adenocarcinoma After Trimodality Therapy

Crossref DOI link: https://doi.org/10.1245/s10434-026-19557-6

Published Online: 2026-04-19

Published Print: 2026-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yamashita, Kohei

Kwiatkowski, Evan

Sewastjanow-Silva, Matheus

Rogers, Jane E.

Yoshimura, Katsuhiro

Pizzi, Melissa Pool

Gan, Qiong

Li, Jenny J.

Waters, Rebecca E.

Murphy, Mariela Blum

Iwatsuki, Masaaki

Hofstetter, Wayne L.

Chen, Aileen

Yuan, Ying

Ajani, Jaffer A. https://orcid.org/0000-0001-9946-0629
License Information

Text and Data Mining valid from 2026-04-19

Version of Record valid from 2026-04-19
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Article History

Received: 6 January 2026

Accepted: 17 March 2026

First Online: 19 April 2026

Disclosure

: All authors declare they have no conflicts of interest regarding this study.

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