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Ying Cui on Muck Rack

Ying Cui

As seen in: Color Research & Application, Nature, Wiley Online Library, arXiv, British Pharmacological Society, Journal of Automated Methods and Management in Chemistry, ScienceDaily, Al Jazeera English, BMJ Open Diabetes Research & Care, Frontiers and
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Articles

Nonlinear association between remnant cholesterol inflammation index and incident stroke among middle-aged and older adults with hypertension: a CHARLS cohort study

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By Siyi Jiang, Ying Cui, Lijun Song, Min Li
| Frontiers
Abstract Background: The remnant cholesterol inflammation index (RCII) combines remnant cholesterol (RC) and high-sensitivity C-reactive protein (hs-CRP), two markers that may reflect residual lipid-related and inflammatory vascular burden. We examined whether baseline RCII was associated with incident stroke among hypertensive middle-aged and older adults and whether this association was nonlinear.
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CD5 + dendritic cell robots mediated in situ immunocyte activation

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By Lele Zhang, Jordan Houri, Doan T Dinh, Chuanhua Li, Weiwei Zhang, Xuyang Chen, Shixiao Ding, Lin Wang, Qian Wang, Songlin Yu, Qiran Zhu, Jiawen Niu, Ying Cui, Mengmeng Sun, Jie Zhao, Tianlong Li
| Science Magazine Verified
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Immune cell microbots with self-propelling and navigating capabilities have become an exciting field of research. Isolation, activation, and adoptive transfer of cytotoxic immune cells in vitro are some of the most common technical methods.
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Pre-therapeutic prediction of cachexia in lymphoma patients using [ 18 F]FDG PET radiomics of muscle and fat

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By Yang Jiang, Yufei Zhao, Ying Cui, Lin Fu, Wenjun Yang, Xinyi Chen, Yuqing Lan, Zihui Zhao, Mouqing Huang, Jingyue Dai, Xingzhe Tang, Xin-Gui Peng
| Nature Verified
Abstract Cachexia adversely affects treatment outcomes in patients with lymphoma, highlighting the need for early risk identification. This study aimed to develop a predictive model using [¹⁸F]fluoro-2-deoxy-D-glucose ([¹⁸F]FDG) positron emission tomography (PET) radiomics features to identify lymphoma patients at risk of developing cachexia.
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