HIGHLIGHTS
- who: Xijie Chen from the Department of Pathology, The Sixth Affiliated, China have published the article: Predicting pathologic complete response in locally advanced rectal cancer patients after neoadjuvant therapy: a machine learning model using XGBoost, in the Journal: (JOURNAL)
- what: The authors aimed to integrate some commonly used preoperative clinicopathological parameters to develop an ML classifier to predict tumor response of LARC after NAT, and compare its performance with nomogram constructed by the conventional logistic regression method, with the aim to provide reference for individualized treatment. This study has several limitations that restrict the interpretations . . .
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