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An Interpretable Machine Learning Host-Response Score for Postoperative Disease-Free Survival Risk Stratification in Colorectal Adenocarcinoma: A Retrospective Prognostic Modelling Study

2026-07-24

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<title>Abstract</title> <p> <bold>Background</bold> Routinely collected perioperative immune, inflammatory, and nutritional data may capture host-response information that is not fully represented by tumour-burden variables alone. This study aimed to develop and internally validate an interpretable host-response score for postoperative disease-free survival (DFS) risk stratification after curative-intent surger...

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Literature Corpus work
2001798a-7320-5f25-ad59-bfa5b39051f8
DOI
10.21203/rs.3.rs-10138572/v1
Open publication

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An Interpretable Machine Learning Host-Response Score for Postoperative Disease-Free Survival Risk Stratification in Colorectal Adenocarcinoma: A Retrospective Prognostic Modelling StudyDOI 10.21203/rs.3.rs-10138572/v1
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