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

Machine learning-based prediction models for liver-related events in patients with hepatitis B-related cirrhosis and clinically significant portal hypertension

基于机器学习的预测模型用于预测乙型肝炎相关肝硬化合并临床显著门静脉高压患者的肝脏相关事件

Li, Yan-Qiu; Li, Zhuo-Jun; Li, Yong-Qi; Feng, Ying; Wang, Xian-Bo

Reduction of DNA Topoisomerase Top2 Reprograms the Epigenetic Landscape and Extends Health and Life Span Across Species.

DNA拓扑异构酶Top2的减少会重塑表观遗传景观,延长不同物种的健康和寿命

Zhu Man, Ma Meng, Luo Lunan, Li Feiyang, Zheng Jiashun, Pan Yan, Yang Lu, Xiao Ying, Wang Ziyan, Xian Bo, Zheng Yi, Li Hao, Yang Jing

ElixirSeeker: A Machine Learning Framework Utilizing Fusion Molecular Fingerprints for the Discovery of Lifespan-Extending Compounds.

ElixirSeeker:利用融合分子指纹发现延长寿命化合物的机器学习框架

Pan Yan, Cai Hongxia, Ye Fang, Xu Wentao, Huang Zhihang, Zhu Jingyuan, Gong Yiwen, Li Yutong, Ezemaduka Anastasia Ngozi, Gao Shan, Liu Shunqi, Li Guojun, Li Hao, Yang Jing, Ning Junyu, Xian Bo

Machine learning model using immune indicators to predict outcomes in early liver cancer

利用免疫指标预测早期肝癌预后的机器学习模型

Zhang, Yi; Shi, Ke; Feng, Ying; Wang, Xian-Bo

Real-world performance of transient elastography in assessing advanced fibrosis in Chinese patients with primary biliary cholangitis

瞬时弹性成像技术在评估中国原发性胆汁性胆管炎患者晚期纤维化方面的实际应用性能

Chen, Jia-Liang; Hou, Yi-Xin; Liu, Yao; Jiang, Yu-Yong; Wang, Xian-Bo

Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study

基于机器学习的非酒精性脂肪性肝炎晚期纤维化模型:一项队列研究

Xiong, Fei-Xiang; Sun, Lei; Zhang, Xue-Jie; Chen, Jia-Liang; Zhou, Yang; Ji, Xiao-Min; Meng, Pei-Pei; Wu, Tong; Wang, Xian-Bo; Hou, Yi-Xin

L-Theanine Extends the Lifespan of Caenorhabditis elegans by Reducing the End Products of Advanced Glycosylation

L-茶氨酸通过减少晚期糖基化终产物延长秀丽隐杆线虫的寿命

Huang, Zhihang; Jing, Haiming; Pan, Yan; Cai, Hongxia; Zhang, Wenjing; Zhu, Jingyuan; Zhang, Nan; Wu, Dan; Xu, Wentao; Qiu, Hexiang; Bao, Huihui; Li, Guojun; Ning, Junyu; Xian, Bo; Gao, Shan

Large scale plasma proteomic profiles improve prediction of idiopathic pulmonary fibrosis in general population

大规模血浆蛋白质组学分析可提高对普通人群特发性肺纤维化的预测能力

Zhou, Rui; Li, Guo-Wei; Zhong, Qi; Li, Xin-Yue; Liu, Ying-Xin; Zheng, Jia-Zhen; Huang, Hui-Juan; Wu, Xian-Bo

HazChemNet: A Deep Learning Model for Hazardous Chemical Prediction

HazChemNet:一种用于危险化学品预测的深度学习模型

Zhang, Nan; Qiu, Hexiang; Cai, Hongxia; Li, Zhiru; Li, Yutong; Li, Zinan; Qi, Lijuan; Du, Hongju; Pan, Yan; Jing, Haiming; Ning, Junyu; Xian, Bo; Gao, Shan

Dynamic interplay of atherogenic index and body roundness in cardio-renal-metabolic disease: a multi-state analysis

动脉粥样硬化指数与体型圆润度在心肾代谢疾病中的动态相互作用:多状态分析

Jin, Chen-Xi; Liu, Le-Rong; Zhong, Qi; Wang, Xiao-Yan; Liang, Jing-Jing; Wang, Xiao-Meng; Xu, Yi-Ning; Huang, Jun-Yan; Li, Mei-Xuan; Liu, Lu; Huang, Hui; Liang, An-Ying; Wang, Jing; Wu, Xian-Bo; Zou, Meng-Chen