Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Danfeng Xie"'
Autor:
Yongsheng Ruan, Libai Chen, Tingting Luo, Danfeng Xie, Wei Cao, Xuan Liu, Qiujun Liu, Yuhua Xiao, Cuiling Wu, Jianyun Wen, Juan Li, Jiangnan Meng, Xuedong Wu, Xiaoqin Feng
Publikováno v:
Infectious Diseases and Therapy, Vol 12, Iss 8, Pp 2071-2086 (2023)
Abstract Introduction Since hematopoietic stem cell transplant (HSCT) is an important therapy for malignant and non-malignant pediatric diseases, improving transplant-related mortality remains a challenge. Currently, rituximab, a monoclonal antibody
Externí odkaz:
https://doaj.org/article/430a2f50f5da4ae0b462ff8d5e77997c
Autor:
Yongsheng Ruan, Wei Cao, Tingting Luo, Xuan Liu, Qiujun Liu, Yuhua Xiao, Cuiling Wu, Danfeng Xie, Yuqiong Ren, Xuedong Wu, Xiaoqin Feng
Publikováno v:
Frontiers in Pediatrics, Vol 11 (2023)
Thrombocytopenia following allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a common and life-threatening complication. Thus, new prevention and treatment strategies for post-HSCT thrombocytopenia are urgently required. In recent stu
Externí odkaz:
https://doaj.org/article/2d77fffa9a3044cfb57afdb9ffa50465
Autor:
Yongsheng Ruan, Tingting Luo, Qiujun Liu, Xuan Liu, Libai Chen, Jianyun Wen, Yuhua Xiao, Danfeng Xie, Yuelin He, Xuedong Wu, Xiaoqin Feng
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Cytomegalovirus (CMV) infection remains a critical cause of mortality after allogeneic hematopoietic stem cell transplantation (allo-HSCT), despite improvement by pre-emptive antivirus treatment. CMV-specific cytotoxic T lymphocytes (CMV-CTL) are uni
Externí odkaz:
https://doaj.org/article/b9672d22fad849258f086362f63a4e1c
Publikováno v:
Buildings, Vol 13, Iss 4, p 997 (2023)
Building a resilient and stable supply chain has become an important strategy for many countries. Studies have shown that the application of additive manufacturing (AM) technology in construction can help offset the negative impact of “black swan e
Externí odkaz:
https://doaj.org/article/e31c420601624fbf9f2888e6d773e219
Autor:
Yongsheng Ruan, Libai Chen, Danfeng Xie, Tingting Luo, Yiqi Xu, Tao Ye, Xiaona Chen, Xiaoqin Feng, Xuedong Wu
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
Chemotherapy is a critical treatment for endocrine-related cancers; however, chemoresistance and disease recurrence remain a challenge. The interplay between cancer cells and the tumor microenvironment via cell adhesion molecules (CAMs) promotes drug
Externí odkaz:
https://doaj.org/article/05341c4055f14d5a9781caf260c93e30
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 4026 (2023)
Scholars have paid considerable attention to the factors that affect the safety states of construction workers. However, only a few studies have focused on the safety assessment and security alerts of individual workers. In this study, the term ‘fr
Externí odkaz:
https://doaj.org/article/78f9202d903d48478e5a588878aaba5b
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 114 (2021)
Recent years have seen increased research interest in replacing the computationally intensive Magnetic resonance (MR) image reconstruction process with deep neural networks. We claim in this paper that the traditional image reconstruction methods and
Externí odkaz:
https://doaj.org/article/9c48a7d2c0d1429d94a99ad65f8358a8
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2017 (2017)
Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from input data. Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image cl
Externí odkaz:
https://doaj.org/article/b1a00e0aefbc4653adb1f4973b59e62e
Autor:
Lei Zhang, Alzheimer's Disease Neuroimaging Initiative, Danfeng Xie, David Dreizin, Elias R. Melhem, Ze Wang, Jean Jeudy, Yiran Li, Tong Lu, Donghui Song, Aldo Camargo
Publikováno v:
J Magn Reson Imaging
BACKGROUND Arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) denoising through deep learning (DL) often faces insufficient training data from patients. One solution is to train DL models using healthy subjects' data which are mo
Autor:
Yiran Li, Hanlu Yang, Abigail Cember, Dushyant Kumar, John A. Detre, Ravinder Reddy, Ravi Prakash Reddy Nanga, Li Bai, Ze Wang, Danfeng Xie, Hari Hariharan
Publikováno v:
Magnetic Resonance in Medicine. 84:1724-1733
Purpose Glutamate weighted Chemical Exchange Saturation Transfer (GluCEST) MRI is a noninvasive technique for mapping parenchymal glutamate in the brain. Because of the sensitivity to field (B0 ) inhomogeneity, the total acquisition time is prolonged