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收藏Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer基于肿瘤和内脏脂肪组织CT特征的深度学习模型,用于预测浆膜浸润性胃癌根治性胃切除术后腹膜转移风险
Li, Yueyue; Wang, Ximiao; Chen, Qiuying; Xiao, Hua; Huang, Yilong; Huang, Liebin; Jian, Lian; Long, Wansheng; Feng, Bao; Zhang, Shuixing
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收藏Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patients
Wu, Xuewei; Zhang, Shuaitong; Zhang, Zhenyu; He, Zicong; Xu, Zexin; Wang, Weiwei; Jin, Zhe; You, Jingjing; Guo, Yang; Zhang, Lu; Huang, Wenhui; Wang, Fei; Liu, Xianzhi; Yan, Dongming; Cheng, Jingliang; Yan, Jing; Zhang, Shuixing; Zhang, Bin
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收藏Turning sublimed sulfur and bFGF into a nanocomposite to accelerate wound healing via co-activate FGFR and Hippo signaling pathway将升华硫和bFGF转化为纳米复合材料,通过共激活FGFR和Hippo信号通路加速伤口愈合
Cao, Jieqiong; Su, Zijian; Zhang, Yibo; Chen, Zhiqi; Li, Jingsheng; Cai, Yulin; Chang, Yiming; Lei, Minghua; He, Qianyi; Li, Weicai; Liao, Xuan; Zhang, Shuixing; Hong, An; Chen, Xiaojia
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收藏An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma基于增强CT参数的可解释机器学习模型,用于预测肝细胞癌患者对常规经动脉化疗栓塞的治疗反应
Zhang, Lu; Jin, Zhe; Li, Chen; He, Zicong; Zhang, Bin; Chen, Qiuying; You, Jingjing; Ma, Xiao; Shen, Hui; Wang, Fei; Wu, Lingeng; Ma, Cunwen; Zhang, Shuixing
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