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Cell Transplantation|September 19, 2013
Cotransplantation of olfactory ensheathing cells and Schwann cells combined with treadmill training promotes functional recovery in rats with contused spinal cordsTiansheng Sun, Chaoqun Ye, Zhicheng Zhang, et al.
Frontiers in Public Health|June 14, 2024
Poor sleep quality and overweight/obesity in healthcare professionals: a cross-sectional studyHongyun Huang, Tian Yu, Chengyu Liu, et al.
Abdominal Radiology (New York)|May 14, 2024
Utilization of diffusion-weighted derived mathematical models to predict prognostic factors of resectable rectal cancerMi Zhou, Deying Bao, Hongyun Huang, et al.
Frontiers in Pharmacology|April 25, 2022
Transcriptomics and Metabolomics Identify Drug Resistance of Dormant Cell in Colorectal CancerLang Xie, Renli Huang, Hongyun Huang, et al.
American Journal of Cancer Research|January 8, 2024
MOGS promotes stemness acquisition and invasion via enhancing NOTCH1-glycosylation dependent NOTCH pathway in colorectal cancerShihai Zhou, Hongyun Huang, Zheng Zheng, et al.
Biomaterials|June 5, 2007
Avidin-biotin binding-based cell seeding and perfusion culture of liver-derived cells in a porous scaffold with a three-dimensional interconnected flow-channel networkHongyun Huang, Shunsuke Oizumi, Nobuhiko Kojima, et al.
Computational Intelligence and Neuroscience|September 15, 2022
Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)Xiaoxue Liu, Shuangshuang Fan, Fuzhen Cao, et al.
International Review of Neurobiology|October 2, 2023
Nose-to-brain drug delivery for the treatment of CNS disease: New development and strategiesLi Du, Lin Chen, Fangfang Liu, et al.
Journal of Environmental Management|January 25, 2025
Nonnegligible transition risks towards net-zero economy: Lessons from green finance initiatives in ChinaHongyun Huang, William Mbanyele, Linbo Zhang, et al.
Frontiers in Pharmacology|January 2, 2025
Investigating the anti-obesity potential of <i>Nelumbo nucifera</i> leaf bioactive compounds through machine learning and computational biology methodsHongyun Huang, Chengyu Liu, Can Cao, et al.
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