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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

K. Yu

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2 papers indexed here

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Open access Aug 2026

Multimodal Machine Learning for Predicting Outcomes in the PASS-01 Trial of Systemic Therapy for Metastatic Pancreatic Cancer

MULTIPL demonstrated robust prognostic performance in external validation, identified a subgroup enriched for benefit from GNP, and enabled discovery and validation of prognostic biomarkers in metastatic PDAC, underscoring the value of the PASS-01 Challenge.

W. Quan, D. Henault, A. Zhang et al. · 0 citations
Open access Jul 2026

AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma.

An interpretable and high-performing artificial intelligence framework for quantitative modeling of PDAC was established, and Objective characterization of tumor heterogeneity and accurate postoperative survival prediction are enabled, with potential value for personalized management in PDAC.

Li-Zhi Shao, Xin-Yi Ke, Yun Wang et al. · 1 citation

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