1262-Deep Learning Pathomics Signature for Gastric Cancer
This multi-center study introduces a pathomics signature for gastric cancer (PSGC), which utilizes deep learning to analyze standard H&E-stained tissue slides. Researchers developed this artificial intelligence model to overcome the limitations of traditional staging systems, providing a more accurate method for predicting patient survival and treatment response. The study found that patients with high PSGC scores benefit significantly from adjuvant chemotherapy and immunotherapy, whereas those with low scores may not. By identifying specific histological features like tumor-stroma fibrosis…
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