BACKGROUND: Minimally invasive surgery (MIS) has emerged as a treatment of choice for early-stage gastric cancer. However, applying MIS to gastric patients with high body mass index (BMI) is technically challenging, especially when performing D2 lymp...
BACKGROUND: The three-dimensional view and articulating devices in robot system might have a benefit performing the delicate procedure of pylorus-preserving gastrectomy. This study was conducted to evaluate the feasibility and safety of robot-assiste...
BACKGROUND: We have previously reported that laparoscopic approach improved short-term postoperative courses even for advanced gastric adenocarcinoma, but not morbidity, in comparison with open approach. The objective of this study was to determine t...
UNLABELLED: Tertiary lymphoid structures (TLS) are critical components of the tumor microenvironment in gastric cancer, but clinical assessment of TLSs is challenging. The development of automated annotation tools for histopathologic slide analysis c...
BACKGROUND: Gastric cancer (GC) is a highly heterogeneous disease, and the response of patients to clinical treatment varies substantially. There is no satisfactory strategy for predicting curative effects to date. We aimed to explore a new method fo...
Gastric cancer (GC) occupies the first few places in the world among tumors in terms of incidence and mortality, causing serious harm to human health, and at the same time, its treatment greatly consumes the health care resources of all countries in ...
Artificial cells, nanomedicine, and biotechnology
Dec 1, 2025
Gastric cancer remains one of the deadliest cancers globally due to delayed detection and limited treatment options, underscoring the critical need for innovative prognostic methods. Disulfidptosis, a recently discovered programmed cell death trigger...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Whole slide pathological images have shown significant potential for patient prognostication. Graph representation learning provides a robust framework for in-depth analysis of whole-slide images to construct predictive models. In this study, we intr...
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