日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Machine learning model on multi-omics data enables risk stratification and identifies molecular heterogeneity and therapeutic targets in glioblastoma

基于多组学数据的机器学习模型能够对胶质母细胞瘤进行风险分层,并识别分子异质性和治疗靶点。

Zhang, Zhenyu; Wang, Zilong; Li, Ran; Pei, Dongling; Liu, Jingdian; Qiu, Yuning; Liu, Zaoqu; Wang, Minkai; Ma, Zeyu; Duan, Wenchao; Wang, Weiwei; Yan, Jing; Guo, Yang; Liu, Haoran; Li, Wenyuan; Yu, Yinhui; Chen, Te; Ma, Caoyuan; Yu, Miaomiao; Fu, Jing; Su, Dingyuan; Li, Sen; Geng, Haotian; Yu, Bin; Zhen, Yingwei; Chen, Ruokun; Sun, Qiuchang; Zhao, Yuanshen; Duan, Jingxian; Zheng, Hairong; Liang, Dong; Liu, Xianzhi; Li, Zhi-Cheng; Ji, Yuchen; Yan, Dongming

Aminated fullerene-based nanoplatform enables synergistic VEGFR2-targeted anti-angiogenesis and tumor immunotherapy.

基于氨基化富勒烯的纳米平台可实现协同的 VEGFR2 靶向抗血管生成和肿瘤免疫治疗。

Huo Jiawei, Wang Yijun, Liu Lei, Li Jie, Yang Libin, Wang Zehu, Li Bowen, Zhang Weixin, Wang Xin, Siringan Mark John, Li Xue, Zhao Ruili, Huang Dongling, Liao Wanwen, Wang Chunru, Bai Chunli

Apoptotic bodies derived from human umbilical cord mesenchymal stem cells improve recovery from myocardial infarction in swine

源自人脐带间充质干细胞的凋亡小体可改善猪心肌梗死后的恢复

Luo, Wei; Li, Hao; Zhang, Pengfei; Cao, Hao; Dong, Yun; Gong, Yanshan; Zhu, Dongling; Xin, YuanFeng; Liu, Zhongmin; Gao, Ling

Apoptotic bodies derived from human umbilical cord mesenchymal stem cells improve recovery from myocardial infarction in swine

源自人脐带间充质干细胞的凋亡小体可改善猪心肌梗死后的恢复

Luo, Wei; Li, Hao; Zhang, Pengfei; Cao, Hao; Dong, Yun; Gong, Yanshan; Zhu, Dongling; Xin, YuanFeng; Liu, Zhongmin; Gao, Ling

Discovering proteo-transcriptomic networks via biologically informed heterogeneous graph learning

通过生物学信息异构图学习发现蛋白质-转录组网络

Duan, Jingxian; Liu, Yaou; Pei, Dongling; Zhou, Zijian; Zhao, Yuanshen; Deng, Jingran; Ma, Haofei; Zhao, Hong; Ma, Zeyu; Wang, Zilong; Chen, Shifu; Zheng, Hairong; Liang, Dong; Zhang, Zhenyu; Li, Zhi-Cheng

Association Between Prepregnancy Blood Pressure and Reproductive Outcomes of In Vitro Fertilization

孕前血压与体外受精生殖结局之间的关联

Fang, Yuan; Wang, Ze; Li, Yan; Shang, Xue; Xu, Dongling; Zhao, Linjie; Niu, Yue; Zou, Jialin; Zhao, Dingying; Ouyang, Gege; Xiao, Huiying; Li, Ning; Yu, Yunhai; Liu, Yanran; Liu, Chendan; Wang, Yue; Qin, Yingying; Zhang, Heping; Legro, Richard S; Wei, Daimin; Chen, Zi-Jiang

Untargeted-targeted metabolomics: energy metabolism characteristics in heart failure staging and discovery of novel biomarkers

非靶向-靶向代谢组学:心力衰竭分期中的能量代谢特征及新型生物标志物的发现

Zhang, Xiao; Wang, Dongling; Liu, Jiangang; Zhang, Dawu; Wang, Chenglong

Patient-derived organoids predict responses to chemotherapy and PARP inhibitors in advanced ovarian cancer

患者来源的类器官可预测晚期卵巢癌对化疗和PARP抑制剂的反应

Wang, Haixia; Wang, Ling; Zhu, Xueping; He, Misi; Zhong, Lin; Lv, Yuyu; Li, Qiaoling; Jiang, Qinyue; Zhang, Cong; Liu, Xinghe; Zou, Dongling

Development and validation of deep learning for predicting the growth of ovarian cancer organoids

开发和验证用于预测卵巢癌类器官生长的深度学习方法

Wu, Hongji; Ma, Lifang; Wang, Ling; Zhu, Xueping; Luo, Xiaogang; Zhang, Cong; Ha, Chunfang; Dang, Yun; Wang, Haixia; Zou, Dongling

CAP1-Mediated m6A modification of RRM2 suppresses tumor-associated M2 macrophage polarization and colorectal cancer growth

CAP1介导的RRM2 m6A修饰抑制肿瘤相关M2巨噬细胞极化和结直肠癌生长

Feng, Tianlin; Lin, Ling; Zhou, Xiaoya; Li, Li; Chen, Yao; Zheng, Wenyi; Cai, Qinrui; Li, Dongling; Lin, Jianshan; Wang, Qianyao; Li, Wei; Zheng, Xiaoyuan; Yang, Fan