BackgroundGastric cancer with synchronous distant metastases indicates a dismal prognosis. The success in survival improvement mainly relies on our ability to predict the potential benefit of a therapy. Our objective is to develop an artificial intelligence annotated clinical-pathologic risk model to predict its outcomes. https://tftoyes.shop/product-category/lord-of-the-rings/
Artificial intelligence annotated clinical-pathologic risk model to predict outcomes of advanced gastric cancer
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