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This study investigates the use of CT scan-based radiomics to predict PD-L1 expression in non-small cell lung cancer (NSCLC) patients, aiming to provide a non-invasive alternative to traditional biopsy methods. An AI-driven pipeline was developed and validated across multiple institutions, demonstrating strong predictive performance and generalizability in both advanced and limited-stage NSCLC patients. The findings suggest that CT-derived features could enhance patient stratification for immunotherapy, pen

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dacihi1382

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EN