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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

Wencheng Zhang

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Open access Aug 2026

A real-world multicenter study on postoperative adjuvant treatment patterns and prognostic implications following neoadjuvant immunochemotherapy for esophageal squamous cell carcinoma

Background With the widespread application of neoadjuvant immunochemotherapy (nICT) in locally advanced resectable esophageal squamous cell carcinoma (ESCC), determining the optimal postoperative adjuvant treatment strategy has become a critical clinical issue. This study aimed to evaluate the efficacy of different adj...

Xue-Yuan Zhang, Hong-Mei Gao, Jian-Zhong Cao et al. · 0 citations
Aug 2026

Dynamic iterative coarse-to-fine prompt learning based on SAM for precise esophageal cancer gross target volume segmentation

Experimental results show that this segmentation method based on SAM achieves better segmentation performance than existing single-pass methods on both internal and external validation sets, and can provide a reliable efficient scheme for the formulation of precise radiotherapy plans for esophageal cancer.

Yuxuan Yao, Hong-Fei Sun, Cheng-Wei Chen et al. · 0 citations
Aug 2026

CTPS1 promotes lung adenocarcinoma progression as a targetable vulnerability.

Targeting CTPS1 with STP938, alone or in combination with osimertinib, represents a promising therapeutic strategy and supports CTPS1 as a targetable vulnerability in lung adenocarcinoma.

Hui Xie, Cai-Xia Xu, Bing-Han Zhou et al. · 0 citations
#small language model Open access Aug 2026

MGTP-Seg: a mask guidance and text prompting network for gross tumor volume segmentation in esophageal cancer radiotherapy

This work demonstrates that MGTP-Seg not only provides an accurate, interpretable, and clinically relevant solution for automatic GTV delineation, but also offers a novel methodological framework to fuse spatial priors with semantic knowledge in medical image analysis.

Cheng-Wei Chen, Hong-Fei Sun, Yuxuan Yao et al. · 0 citations

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