(A) Classification of macrophage subsets in CRC, including FCN1+, C1QC+, SPP1+, and MKI67+ macrophages, defined by their core features of inflammation, phagocytosis, malignancy, and proliferation, ...
A comprehensive model considering patient age, diabetes, colonoscopy indications, and polyp findings can predict colorectal cancer (CRC) risk more accurately than the solely polyp-based model in ...
A prediction model using age, body mass index, lifestyle, waist circumference, and family history had high accuracy when used to predict colorectal cancer (CRC) in China. A nomogram model was able to ...
A simple, user-friendly decision-making model that used self-reported information was able to perform well in outpatient decision-making for patients with colorectal cancer (CRC). CRC is the second ...
Researchers used a microsimulation model to see possible outcomes of lowering the CRC screening initiation age. Researchers used the model to see how screening 45-year-old patients with a multitarget ...
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