This research introduces a graph neural network (GNN) framework designed to analyze the complex spatial relationships within the tumor microenvironment of non-small cell lung cancer. By modeling localized cellular neighborhoods, the study successfully predicts patient survival with high accuracy, outperforming traditional density-based metrics. The analysis reveals that the prognostic impact of im...去小宇宙查看完整单集简介
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