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Aug 2026

Prediction of Lymph Node Metastasis in Early Gastric Cancer Using Foundation Model Ensembles and Patch-Based Histopathological Interpretation.

PURPOSE Accurate prediction of lymph node metastasis (LNM) remains challenging in early gastric cancer (EGC), particularly when determining the need for additional surgery after endoscopic resection. We developed and evaluated a deep learning framework using multiple pathology foundation models for LNM prediction and e...

Woojin Chung, Yujun Park, Yoonjin Kwak et al. · 0 citations
Open access Aug 2026

Multivariable Radiomics Model for Predicting Programmed Death‐Ligand 1 Expression After Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma

We aimed to develop models for predicting programmed death‐ligand 1 (PD‐L1) expression following neoadjuvant chemoradiotherapy (nCRT) in esophageal squamous cell carcinoma (ESCC) using a multifaceted approach that integrates traditional radiomics, deep learning, and machine learning.

Hyun Do Jung, Tae Hoon Lee, Byoung Hyuck Kim et al. · 0 citations
Open access Aug 2026

Targetable genes associated with hematogenous metastasis in gastric cancer using the TCGA database

Several candidate genes with prior literature support showed nominal expression differences in comparisons involving hematogenous metastasis in gastric cancer, which are hypothesis-generating and require validation in independent cohorts and functional studies.

J. Yoo, H. M. Kim, Kyoungyun Jeong et al. · 0 citations

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