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

Unveiling biomarkers of telitacicept's efficacy in SLE treatment through proteomics and metabolomics

通过蛋白质组学和代谢组学揭示泰利他西普治疗系统性红斑狼疮疗效的生物标志物

Nie, Huiyu; Chang, Siyuan; Chen, Hanhan; Shi, Jiahui; Li, Shu; Peng, Xiaofei; Cheng, Wei; Wang, Jia; Tang, Qi; Ge, Yan; Xie, Xi; Li, Fen

Anti-Photoaging Effects of a Polysaccharide from Kappaphycus alvarezii In Vitro and In Vivo

卡帕藻多糖的体外和体内抗光老化作用

Lai, Yixuan; Wang, Yuan; Mueed, Abdul; Shu, Peng; You, Lijun; Zhong, Jiangming

HuMSCs-derived exosomes alleviate premature ovarian insufficiency by enhancing SIRT3-mediated mitochondrial function in theca-interstitial cells

人骨髓间充质干细胞来源的外泌体通过增强卵泡膜间质细胞中SIRT3介导的线粒体功能来缓解卵巢早衰。

Cui, Xiangrong; Zhu, Xinyu; Luo, Jiali; Zhu, Ruixiang; Ju, Ruotong; Zhang, Puhua; Li, Huihui; Wang, Shu; Peng, Li; Jia, Chenyu; Xue, Tingting; Jing, Xuan

Development of Woody Plants

木本植物的发育

Chen, Min; Wang, Yi-Shu; Peng, Hong-Xiang; Zhang, Jin-Zhi

Development and internal validation of an interpretable machine learning model for predicting dialysis risk in patients with stage 3-4 chronic kidney disease

开发并进行内部验证,以构建一个可解释的机器学习模型,用于预测3-4期慢性肾脏病患者的透析风险

Shu, Peng; Qin, Dan; Xu, Fang; Guo, Li; Wen, Zhuping; Wang, Xia

Current situation and research progress of luteolin in the treatment of gastrointestinal malignant tumors

木犀草素在胃肠道恶性肿瘤治疗中的现状及研究进展

Tu, Zeyu; Chu, Tianlu; Yang, Peipei; Guan, Hengchao; Shu, Xinyan; Li, Yinghong; Teng, Yuhao; Xu, Yuanyuan; Shu, Peng

Dietary live microbe intake and asthma risk and mediator analysis: a cross-sectional study of NHANES 2003-2018

膳食活微生物摄入量与哮喘风险及中介因素分析:一项基于2003-2018年NHANES数据的横断面研究

Shu, Peng; Wang, Xuyao; Zhu, Junlan; Wang, Qinqin

Interpretable Machine Learning Analysis of Inflammatory Biomarkers for Predicting Arteriovenous Fistula Stenosis in Hemodialysis Patients: A Retrospective Cohort Study

利用可解释的机器学习方法分析炎症生物标志物预测血液透析患者动静脉瘘狭窄:一项回顾性队列研究

Wang, Xia; Shu, Peng; Wen, Zhuping; Xie, Qian; Xu, Fang

Large language models for bioinformatics

用于生物信息学的大型语言模型

Ruan, Wei; Lyu, Yanjun; Zhang, Jing; Cai, Jiazhang; Shu, Peng; Ge, Yang; Lu, Yao; Gao, Shang; Wang, Yue; Wang, Peilong; Zhao, Lin; Wang, Tao; Liu, Yufang; Fang, Luyang; Liu, Ziyu; Liu, Zhengliang; Li, Yiwei; Wu, Zihao; Chen, Junhao; Jiang, Hanqi; Pan, Yi; Yang, Zhenyuan; Chen, Jingyuan; Liang, Shizhe; Zhang, Wei; Ma, Terry; Dou, Yuan; Zhang, Jianli; Gong, Xinyu; Gan, Qi; Zou, Yusong; Chen, Zebang; Qian, Yuanxin; Yu, Shuo; Lu, Jin; Song, Kenan; Wang, Xianqiao; Sikora, Andrea; Li, Gang; Li, Xiang; Li, Quanzheng; Wang, Yingfeng; Zhang, Lu; Abate, Yohannes; He, Lifang; Zhong, Wenxuan; Liu, Rongjie; Huang, Chao; Liu, Wei; Shen, Ye; Ma, Ping; Zhu, Hongtu; Yan, Yajun; Zhu, Dajiang; Liu, Tianming

Development and validation of an inflammatory index-based interpretable machine learning model for mortality risk stratification in hemodialysis patients

开发和验证基于炎症指数的可解释机器学习模型,用于血液透析患者的死亡风险分层

Yang, Zhenhua; Shu, Peng; Wen, Zhuping; Wang, Xia; Xu, Fang