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

A Unified Framework for Survival Prediction: Combining Machine Learning Feature Selection with Traditional Survival Analysis in Heart Failure and METABRIC Breast Cancer

生存预测的统一框架:将机器学习特征选择与传统生存分析相结合,应用于心力衰竭和METABRIC乳腺癌研究

Tan, Fangya; Zhou, Jian-Guo; Li, Shuqiao; Long, Bowen; Bellur, Srikar; Zhou, Yang; Newman, Mark

Quality-of-life scale machine learning approach to predict immunotherapy response in patients with advanced non-small cell lung cancer

利用生活质量量表机器学习方法预测晚期非小细胞肺癌患者的免疫治疗反应

Shen, Juanyan; Ma, Junliang; Chen, Shaolin; Jin, Su-Han; Xu, Junzhu; Li, Qisha; Zhang, Chi; Tian, Xiaojing; Chen, Xiaofei; Tan, Fangya; Hecht, Markus; Frey, Benjamin; Gaipl, Udo S; Ma, Hu; Zhou, Jian-Guo

Synthetic niclosamide-loaded controlled-release nanospheres with high solubility and stability exerting multiple effects against Clostridioides difficile

合成的尼克酰胺负载控释纳米球具有高溶解度和稳定性,对艰难梭菌具有多种抗菌作用。

Tai, Yulei; Zhang, Meng; Han, Yuning; Hu, Hui; Lin, Shan; Zhai, Fangya; Tian, Menglun; Song, Xiaojun; Wan, Shuangshuang; Chen, Yu; Jin, Dazhi

Multistate oral carcinogenesis-A prospective cohort study and a parallel case-control study in Taiwan

多州口腔癌变——台湾前瞻性队列研究和平行病例对照研究

Wang, Cheng-Ping; Yu, Kelly J; Chen, Tseng-Cheng; Tsai, Ming-Shui; Kang, Chung-Jan; Chien, Chi-Yen; Engels, Eric A; Hua, Chun-Hung; Hsu, Wan-Lun; Chang, Yih-Leong; Dawsey, Sanford M; Wentzensen, Nicolas; Shi, Jianxin; Mao, Fangya; Cheung, Li C; Katki, Hormuzd A; Boyd, Eric; Wu, Chen-Tu; Gutkind, J Silvio; Molinolo, Alfredo; Limbach, Abberly-Lott; Lingen, Mark W; Lou, Pei-Jen; Chen, Chien-Jen; Hildesheim, Allan; Chaturvedi, Anil K

Multiple cross displacement amplification (MCDA) for rapid detection of toxigenic Clostridioides difficile as a potential point-of-care testing

多重交叉置换扩增(MCDA)技术可快速检测产毒性艰难梭菌,有望成为一种即时检测方法。

Hu, Hui; Zhang, Xiaomei; Cai, Mengting; Song, Xiaojun; Cheng, Hongrui; Zhai, Fangya; Tai, Yulei; Xu, Zheng; Lin, Shan; Chen, Yu; Luo, Yun; Jin, Dazhi

Cross-feeding and co-degradation within a bacterial consortium dominated by challenging-to-culture Leucobacter sp. HA-1 enhances sulfonamide degradation

在以难以培养的白杆菌属HA-1菌株为主的细菌群落中,交叉喂养和协同降解作用增强了磺胺类药物的降解。

Zhao, Guoqiang; Yu, Houyu; Wang, Juanjuan; Jiang, Bo; Zhong, Fangya; Zhang, Rui; Jiang, Tianzhi; Yang, Mo; Wang, Hui; Huang, Xing

Efficacy of radiotherapy combined with atezolizumab or docetaxel in patients with previously treated NSCLC

放疗联合阿特珠单抗或多西他赛治疗既往接受过治疗的非小细胞肺癌患者的疗效

Xu, Junzhu; Wang, Haitao; Zhang, Chi; Jin, Su-Han; Chen, Xiaofei; Tan, Fangya; Frey, Benjamin; Hecht, Markus; Sun, Jian-Guo; Gaipl, Udo S; Ma, Hu; Zhou, Jian-Guo

Deciphering Factors Contributing to Cost-Effective Medicine Using Machine Learning

利用机器学习解读影响医疗成本效益的因素

Long, Bowen; Zhou, Jinfeng; Tan, Fangya; Bellur, Srikar

Left Ventricular Papillary Muscle: Anatomy, Pathophysiology, and Multimodal Evaluation

左心室乳头肌:解剖、病理生理和多模式评估

Li, Shiying; Wang, Zhen; Fu, Wenpei; Li, Fangya; Gu, Hui; Cui, Nan; Lin, Yixia; Xie, Mingxing; Yang, Yali

Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy

基于血液检测生物标志物的机器学习预测接受免疫疗法治疗的晚期非小细胞肺癌患者的快速疾病进展

Zhou, Jian-Guo; Yang, Jie; Wang, Haitao; Wong, Ada Hang-Heng; Tan, Fangya; Chen, Xiaofei; He, Si-Si; Shen, Gang; Wang, Yun-Jia; Frey, Benjamin; Fietkau, Rainer; Hecht, Markus; Zhong, Wenzhao; Ma, Hu; Gaipl, Udo