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Deep learning outperforms kidney organoid experts
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society of Nephrology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902735/ https://www.ncbi.nlm.nih.gov/pubmed/36747356 http://dx.doi.org/10.23876/j.krcp.22.174 |
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author | Yu, Seyoung Gee, Heon Yung |
author_facet | Yu, Seyoung Gee, Heon Yung |
author_sort | Yu, Seyoung |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9902735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Korean Society of Nephrology |
record_format | MEDLINE/PubMed |
spelling | pubmed-99027352023-02-16 Deep learning outperforms kidney organoid experts Yu, Seyoung Gee, Heon Yung Kidney Res Clin Pract Editorial The Korean Society of Nephrology 2023-01 2023-01-31 /pmc/articles/PMC9902735/ /pubmed/36747356 http://dx.doi.org/10.23876/j.krcp.22.174 Text en Copyright © 2023 The Korean Society of Nephrology https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial and No Derivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) which permits unrestricted non-commercial use, distribution of the material without any modifications, and reproduction in any medium, provided the original works properly cited. |
spellingShingle | Editorial Yu, Seyoung Gee, Heon Yung Deep learning outperforms kidney organoid experts |
title | Deep learning outperforms kidney organoid experts |
title_full | Deep learning outperforms kidney organoid experts |
title_fullStr | Deep learning outperforms kidney organoid experts |
title_full_unstemmed | Deep learning outperforms kidney organoid experts |
title_short | Deep learning outperforms kidney organoid experts |
title_sort | deep learning outperforms kidney organoid experts |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902735/ https://www.ncbi.nlm.nih.gov/pubmed/36747356 http://dx.doi.org/10.23876/j.krcp.22.174 |
work_keys_str_mv | AT yuseyoung deeplearningoutperformskidneyorganoidexperts AT geeheonyung deeplearningoutperformskidneyorganoidexperts |