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Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms
Background: Interstitial fibrosis and tubular atrophy (IFTA) are the histopathological manifestations of chronic kidney disease (CKD) and one of the causes of long-term renal loss in transplanted kidneys. Necroptosis as a type of programmed death plays an important role in the development of IFTA, a...
Autores principales: | Yin, Yu, Chen, Congcong, Zhang, Dong, Han, Qianguang, Wang, Zijie, Huang, Zhengkai, Chen, Hao, Sun, Li, Fei, Shuang, Tao, Jun, Han, Zhijian, Tan, Ruoyun, Gu, Min, Ju, Xiaobing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646529/ https://www.ncbi.nlm.nih.gov/pubmed/38028591 http://dx.doi.org/10.3389/fgene.2023.1276963 |
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