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Updated: Sep 13, 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

Published on: April 18, 2025

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用AI-HOPE-JAK-STAT解读结直肠癌中的JAK-STAT轴:对临床基因组集成的一种对话式人工智能方法

Ei-Wen Yang1, Brigette Waldrup2, Enrique Velazquez-Villarreal2,3

  • 1PolyAgent, San Francisco, CA 94102, USA.

Cancers
|July 29, 2025
PubMed
概括

这项研究介绍了AI-HOPE-JAK-STAT,这是一个AI平台,用于探索Janus酶信号转换器和转录激活器 (JAK-STAT) 在结直肠癌 (CRC) 中的途径改变. 该平台揭示了特定患者群体的生存优势,包括早期发病的CRC和用FOLFOX.X治疗的患者.

关键词:
在这里,我们可以看到AIAIAI.人工智能代理商的人工智能代理在JAK-STAT路径上.在法学士 (LLM) 课程中.人工智能的人工智能是人工智能.癌症 癌症 癌症 癌症 癌症癌症遗传学 癌症遗传学结肠直肠癌是什么意思大型语言模型.精确瘤学 精确瘤学

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