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Updated: Jan 21, 2026

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
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Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma

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通过动态多尺度交叉频段融合波器网络进行可解释的端到端扣留预测

Jie Wang1, Yingchao Wang2, Weiwei Nie3

  • 1Shandong Key Laboratory of Medical Physics and Image Processing, School of Communication and Electronic Engineering, Shandong Normal University, Jinan 250358, P. R. China.

International journal of neural systems
|January 19, 2026
PubMed
概括

一个新的AI模型,MCFNet,通过电脑电图 (EEG) 信号增强了发作预测. 它改善了特征表示和可解释性,为早期患者警告提供了一个有前途的工具.

关键词:
抢劫预测预测的预测跨频段融合注意事项 跨频段融合注意事项一个电脑电图 (electroencephalogram) 是一个电脑电图.可以解释的框架.同步光谱过网络是同步光谱过网络.

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