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

Multi-trait genome-wide analysis identified risk loci and candidate drugs for heart failure

多性状全基因组分析确定了心力衰竭的风险位点和候选药物。

Yu, Zhengyang; Lin, Maohuan; Liang, Zhanyu; Ren, Bozhen; Yang, Ying; Lin, Xiaoling; Liu, Huiling; Chen, Yangxin; Ning, Kaida; Xia, Li C

Online Health-Seeking Behaviors and Information Needs Among Patients With Lymphoma in China: Study of Regional and Temporal Trends

中国淋巴瘤患者的在线健康寻求行为和信息需求:区域和时间趋势研究

Ning, Kaida; Gu, Hongfei; Franklin, Meredith; Yang, Xiaoying; Wei, Rong; Song, Zhen; Xu, Hong; Leng, Ling Li; Liu, Mengting; Dai, Ju; Zhang, Jin; Zeng, Rui; Hou, Yongshuai; Wang, Rongjie; Liu, Zirong; Huang, Chenyang; Cai, Runfa; Liu, Huiling; Xia, Li Charlie

3D convolutional neural networks uncover modality-specific brain-imaging predictors for Alzheimer's disease sub-scores

3D卷积神经网络揭示了阿尔茨海默病亚评分的模态特异性脑成像预测因子

Ning, Kaida; Cannon, Pascale B; Yu, Jiawei; Shenoi, Srinesh; Wang, Lu; Sarkar, Joydeep

Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging

利用深度学习改进脑龄评估方法,有助于识别与脑老化相关的新遗传因素。

Ning, Kaida; Duffy, Ben A; Franklin, Meredith; Matloff, Will; Zhao, Lu; Arzouni, Nibal; Sun, Fengzhu; Toga, Arthur W

Association of relative brain age with tobacco smoking, alcohol consumption, and genetic variants

相对脑年龄与吸烟、饮酒和基因变异的关系

Ning, Kaida; Zhao, Lu; Matloff, Will; Sun, Fengzhu; Toga, Arthur W

Classifying Alzheimer's disease with brain imaging and genetic data using a neural network framework

利用神经网络框架,结合脑成像和基因数据对阿尔茨海默病进行分类

Ning, Kaida; Chen, Bo; Sun, Fengzhu; Hobel, Zachary; Zhao, Lu; Matloff, Will; Toga, Arthur W

Pattern recognition receptor signaling in human dendritic cells is enhanced by ICOS ligand and modulated by the Crohn's disease ICOSLG risk allele.

人类树突状细胞中的模式识别受体信号传导受到 ICOS 配体的增强,并受到克罗恩病 ICOSLG 风险等位基因的调节

Hedl Matija, Lahiri Amit, Ning Kaida, Cho Judy H, Abraham Clara