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Open access Sep 2026

Preoperative risk stratification for postoperative inflammatory–nutritional deterioration after colorectal cancer surgery: an interpretable machine learning study

Background Postoperative inflammatory–nutritional deterioration may adversely affect recovery after colorectal cancer surgery. This study aimed to develop and internally validate an interpretable machine learning model for preoperative prediction of postoperative modified Glasgow Prognostic Score (mGPS) = 2. Methods Th...

Yin-Chao Zhang, Ying-Kun Hu, Xin-Ke Cao et al. · 0 citations
Open access Jul 2026

Prediction of acute postoperative protein depletion risk in colon cancer using an in-context learning foundation model: a retrospective cohort study

TabICLv2 integrates demographic, nutritional, and immunological profiles to predict acute postoperative protein depletion with moderate discrimination and may provide adjunctive individualised risk assessment, but prospective multicentre validation is required before routine clinical implementation.

Xin-Ke Cao, Linrui Han, Xin-Quan Zan et al. · 0 citations

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