Works matching AU Zhang, Buyao
Results: 5
Exosomal microRNA-342-5p secreted from adipose-derived mesenchymal stem cells mitigates acute kidney injury in sepsis mice by inhibiting TLR9.
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- Biological Procedures Online, 2023, v. 25, n. 1, p. 1, doi. 10.1186/s12575-023-00198-y
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- Article
Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study.
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- Journal of Medical Internet Research, 2024, v. 26, p. 1, doi. 10.2196/51354
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- Article
Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.
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- Renal Failure, 2022, v. 44, n. 1, p. 1896, doi. 10.1080/0886022X.2022.2142139
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- Article
Nomogram to predict the risk of septic acute kidney injury in the first 24 h of admission: an analysis of intensive care unit data.
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- Renal Failure, 2020, v. 42, n. 1, p. 428, doi. 10.1080/0886022X.2020.1761832
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- Article
Establishment and external validation of an online dynamic nomogram for predicting in-hospital death risk in sepsis-associated acute kidney disease.
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- Current Medical Research & Opinion, 2022, v. 38, n. 10, p. 1705, doi. 10.1080/03007995.2022.2101818
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- Article