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Updated: Sep 9, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

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炎症,栄養,人工知能を統合する:大腸がんの予後スコア付けの新時代

Semra Demirli Atici1, Aras Emre Canda2,3, Mustafa Cem Terzi2,3

  • 1Department of General Surgery, Acibadem Kent Hospital, Izmir 35620, Türkiye. smrdemirli@hotmail.com.

World journal of gastroenterology
|September 4, 2025
PubMed
まとめ

結腸直腸がんの 伝統的なステージングは 炎症や栄養などの 重要な要因を無視しています バイオケミカルマーカーとAIを統合することで 生存率の予測が向上し 治療の個別化により より良い結果が得られます

キーワード:
人工知能大腸がん栄養失調に関するグローバル・リーダーシップ・イニシアチブ栄養学的バイオマーカーパーソナライズされたがん治療予測栄養スコアシステム腫瘍に浸透するリンパ球

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