Zobrazeno 1 - 10 of 45 pro vyhledávání: '"Chendi D"'
1
Akademický článek
Biofilm microenvironment triggered self-enhancing photodynamic immunomodulatory microneedle for diabetic wound therapy
Autor: Li Yang, Dan Zhang, Wenjing Li, Hongbing Lin, Chendi Ding, Qingyun Liu, Liangliang Wang, Zimu Li, Lin Mei, Hongzhong Chen, Yanli Zhao, Xiaowei Zeng
Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract The treatment of diabetic wounds faces enormous challenges due to complex wound environments, such as infected biofilms, excessive inflammation, and impaired angiogenesis. The critical role of the microenvironment in the chronic diabetic wou
Externí odkaz: https://doaj.org/article/46f30383c7dc44998622d16956a5521d
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2
Akademický článek
NIR-dye bridged human serum albumin reassemblies for effective photothermal therapy of tumor
Autor: Zhaoqing Shi, Miaomiao Luo, Qili Huang, Chendi Ding, Wenyan Wang, Yinglong Wu, Jingjing Luo, Chuchu Lin, Ting Chen, Xiaowei Zeng, Lin Mei, Yanli Zhao, Hongzhong Chen
Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Human serum albumin (HSA) based drug delivery platforms that feature desirable biocompatibility and pharmacokinetic property are rapidly developed for tumor-targeted drug delivery. Even though various HSA-based platforms have been establishe
Externí odkaz: https://doaj.org/article/3e835327f5a942d483ece7374b361217
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3
Akademický článek
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis
Autor: Nuo Lei, Xianlong Zhang, Mengting Wei, Beini Lao, Xueyi Xu, Min Zhang, Huifen Chen, Yanmin Xu, Bingqing Xia, Dingjun Zhang, Chendi Dong, Lizhe Fu, Fang Tang, Yifan Wu
Publikováno v: BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-16 (2022)
Abstract Background Kidney disease progression rates vary among patients. Rapid and accurate prediction of kidney disease outcomes is crucial for disease management. In recent years, various prediction models using Machine Learning (ML) algorithms ha
Externí odkaz: https://doaj.org/article/f67bb95f274b4be1b71870431293b8e1
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5
Akademický článek
Reinforcing materials modelling by encoding the structures of defects in crystalline solids into distortion scores
Autor: Alexandra M. Goryaeva, Clovis Lapointe, Chendi Dai, Julien Dérès, Jean-Bernard Maillet, Mihai-Cosmin Marinica
Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
The presence of defects in crystalline solids affects material properties, the precise knowledge of defect characteristics being highly desirable. Here the authors demonstrate a machine-learning outlier detection method based on distortion score as a
Externí odkaz: https://doaj.org/article/9c4d246c54c44202a50b99c9a8ea072c
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7
[Transplantation of the left lung in a 2-month-old piglet. The Study Group for Lung Transplantation]
Autor: Georgacopulo P, Riccipetitoni G, Gloria Pelizzo, Chendi D, Mandrioli G, al Shweiki F, Righini E, Tosatti S, Ragazzi R, Franchella A
Publikováno v: Europe PubMed Central
Experimental surgery in animals remains an irreplaceable model for the clinical application of a new technique. We performed a single lung allotransplantation in young pigs. The pigs were organized into groups: 1) 6 to assess the surgical anatomy; 2)
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::c81a387564c04c3dfad5ca7e86cfe465
https://pubmed.ncbi.nlm.nih.gov/1488142
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