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This study aims to develop a model to predict response to chemotherapy in gastric cancer using RNA splicing information from tumor tissue. By analyzing genetic patterns and applying machine learning, the study seeks to identify patients who are less likely to benefit from treatment, helping guide clinical decision-making.
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