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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Fan Li

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Aug 2026

Decoding Tumor Heterogeneity with Imaging Biomarkers Predicts Microvascular Invasion and Postoperative Risk Stratification in Hepatocellular Carcinoma.

RATIONALE AND OBJECTIVES Microvascular invasion (MVI) is a major driver of recurrence and poor outcomes in hepatocellular carcinoma (HCC), yet biopsy-based pathologic assessment is invasive and susceptible to sampling bias and delayed availability. We aimed to develop and validate a noninvasive preoperative model integ...

Xiaodong Liu, Jing Jia, Fei Wang et al. · 0 citations
Open access Jul 2026

Interpretable multimodal deep learning for time-resolved survival prediction after hepatocellular carcinoma resection.

TEMPO-HCC represents a paradigm shift from static binary classification toward clinically actionable temporal risk prediction, and provides an auditable evidence chain linking macro-scale radiologic phenotypes to micro-scale histopathologic patterns.

Fan Li, Huancheng Yang, Rui-Shan Liu et al. · 0 citations
Open access Jul 2026

Prediction of axillary lymph node metastasis using a transformer model and multi-omics validation in breast cancer.

It is suggested that the stacking model holds promise as a noninvasive decision-support tool that may complement, rather than replace, current clinical staging practices, however, integration into clinical workflows requires prospective validation.

Xiaodong Liu, Fan Li, Ye Xiang et al. · 0 citations

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