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Biology-guided deep learning predicts prognosis and cancer immunotherapy response.
Jiang Y, Zhang Z, Wang W, Huang W, Chen C, Xi S, Ahmad MU, Ren Y, Sang S, Xie J, Wang JY, Xiong W, Li T, Han Z, Yuan Q, Xu Y, Xing L, Poultsides GA, Li G, Li R. Jiang Y, et al. Among authors: li t, li g, li r. Nat Commun. 2023 Aug 23;14(1):5135. doi: 10.1038/s41467-023-40890-x. Nat Commun. 2023. PMID: 37612313 Free PMC article.
Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics.
Jiang Y, Zhou K, Sun Z, Wang H, Xie J, Zhang T, Sang S, Islam MT, Wang JY, Chen C, Yuan Q, Xi S, Li T, Xu Y, Xiong W, Wang W, Li G, Li R. Jiang Y, et al. Among authors: li t, li g, li r. Cell Rep Med. 2023 Aug 15;4(8):101146. doi: 10.1016/j.xcrm.2023.101146. Epub 2023 Aug 8. Cell Rep Med. 2023. PMID: 37557177 Free PMC article.
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.
Jiang Y, Zhang Z, Yuan Q, Wang W, Wang H, Li T, Huang W, Xie J, Chen C, Sun Z, Yu J, Xu Y, Poultsides GA, Xing L, Zhou Z, Li G, Li R. Jiang Y, et al. Among authors: li t, li g, li r. Lancet Digit Health. 2022 May;4(5):e340-e350. doi: 10.1016/S2589-7500(22)00040-1. Lancet Digit Health. 2022. PMID: 35461691 Free article.
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