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Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669900/ https://www.ncbi.nlm.nih.gov/pubmed/36408265 http://dx.doi.org/10.3389/fphar.2022.1000476 |
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author | Zhu, Yuxiang Wang, Xuebin Wang, Xue Chen, Lizhi Wang, Zhuo |
author_facet | Zhu, Yuxiang Wang, Xuebin Wang, Xue Chen, Lizhi Wang, Zhuo |
author_sort | Zhu, Yuxiang |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9669900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96699002022-11-18 Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence Zhu, Yuxiang Wang, Xuebin Wang, Xue Chen, Lizhi Wang, Zhuo Front Pharmacol Pharmacology Frontiers Media S.A. 2022-11-03 /pmc/articles/PMC9669900/ /pubmed/36408265 http://dx.doi.org/10.3389/fphar.2022.1000476 Text en Copyright © 2022 Zhu, Wang, Wang, Chen and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Zhu, Yuxiang Wang, Xuebin Wang, Xue Chen, Lizhi Wang, Zhuo Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence |
title | Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence |
title_full | Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence |
title_fullStr | Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence |
title_full_unstemmed | Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence |
title_short | Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence |
title_sort | commentary: predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669900/ https://www.ncbi.nlm.nih.gov/pubmed/36408265 http://dx.doi.org/10.3389/fphar.2022.1000476 |
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