Advanced colorectal neoplasms

1. XGBoost model predicts advanced colorectal neoplasms in silico (AUC 0.908).

   “The AUCs reached 0.960 in the training set, 0.944 in the testing set, and 0.908 in the temporal validation cohort.”

   In silicotemporal validation cohort

   Systemic inflammatory biomarkers (NLR, SII, PNI and FPR) combined with CEA for predicting advanced colorectal neoplasms: development and temporal validation of a machine learning model

   Frontiers in oncology·22 Jul 2026

1. Prognostic nutritional index lowers the risk of advanced colorectal neoplasms in humans.

   “while PNI showed a negative relationship”

   Humansin individuals undergoing colonoscopy

   Systemic inflammatory biomarkers (NLR, SII, PNI and FPR) combined with CEA for predicting advanced colorectal neoplasms: development and temporal validation of a machine learning model

   Frontiers in oncology·22 Jul 2026

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1. Neutrophil-to-lymphocyte ratio raises the risk of advanced colorectal neoplasms in humans.

   “Higher values of NLR, SII, FPR, and CEA were linked to a greater probability of ACRN”

   Humansin individuals undergoing colonoscopy

   Systemic inflammatory biomarkers (NLR, SII, PNI and FPR) combined with CEA for predicting advanced colorectal neoplasms: development and temporal validation of a machine learning model

   Frontiers in oncology·22 Jul 2026

More on Neutrophil-to-lymphocyte ratio