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Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients.
- Published in:
- Scientific Reports, 2017, p. 42192, doi. 10.1038/srep42192
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- Article
Kidney Transplantation from Pediatric Donors in a Single Chinese Center.
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- Cell Biochemistry & Biophysics, 2014, v. 70, n. 3, p. 1713, doi. 10.1007/s12013-014-0118-y
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- Article
Over-expressed microRNA-181a reduces glomerular sclerosis and renal tubular epithelial injury in rats with chronic kidney disease via down-regulation of the TLR/NF-κB pathway by binding to CRY1.
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- Molecular Medicine, 2018, v. 24, n. 1, p. N.PAG, doi. 10.1186/s10020-018-0045-2
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- Article
Incorporation of Gene‐Environment Interaction Terms Improved the Predictive Accuracy of Tacrolimus Stable Dose Algorithms in Chinese Adult Renal Transplant Recipients.
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- Journal of Clinical Pharmacology, 2019, v. 59, n. 6, p. 890, doi. 10.1002/jcph.1379
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- Article
Corrigendum: Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients.
- Published in:
- Scientific Reports, 2018, p. 46936, doi. 10.1038/srep46936
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- Publication type:
- Article
Donor BMSC‐derived small extracellular vesicles relieve acute rejection post‐renal allograft through transmitting Loc108349490 to dendritic cells.
- Published in:
- Aging Cell, 2021, v. 20, n. 10, p. 1, doi. 10.1111/acel.13461
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- Article