An interpretable deep learning biomarker for prognostication and prediction of adjuvant chemotherapy benefit in gastric cancer

We sincerely thank Harbin Medical University Cancer Hospital for providing WSI data, and the participating pathologists who generously donated their time and efforts for the reader studies. We also thank Dr. Qingzhen Fu for providing significant assistance with the illustrations for this research. This work was supported by the National Natural Science Foundation of China (82273734, 82304250), the Natural Science Foundation of Heilongjiang Province (YQ2024H006), the Heilongjiang Provincial Natural Science Foundation of China (LH2023H096), the Postdoctoral Research Project in Heilongjiang Province (LBHZ22210), the China Postdoctoral Science Foundation (2023MD744213), the Scientific Research Project of Heilongjiang Provincial Health Commission (20230404080339), the Heilongjiang Provincial Higher Education Institutions Collaborative Innovation Cultivation Project (LJGXCG2023-087), the Harbin Medical University Cancer Hospital Ascend Leading Disciplines Plan (PDYS-2024-14), and the Heilongjiang Provincial Key Project of ‘Outstanding Young Teachers Basic Research Support Program’ for Provincial Undergraduate Universities. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.