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A promising platform for predicting toxicity
Organ-on-chip approaches could help researchers to better predict the toxicity of cancer immunotherapy drugs.
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8463070/ https://www.ncbi.nlm.nih.gov/pubmed/34558412 http://dx.doi.org/10.7554/eLife.73191 |
| _version_ | 1784572330077323264 |
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| author | Ochoa de Olza, Maria |
| author_facet | Ochoa de Olza, Maria |
| author_sort | Ochoa de Olza, Maria |
| collection | PubMed |
| description | Organ-on-chip approaches could help researchers to better predict the toxicity of cancer immunotherapy drugs. |
| format | Online Article Text |
| id | pubmed-8463070 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | eLife Sciences Publications, Ltd |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-84630702021-09-27 A promising platform for predicting toxicity Ochoa de Olza, Maria eLife Cancer Biology Organ-on-chip approaches could help researchers to better predict the toxicity of cancer immunotherapy drugs. eLife Sciences Publications, Ltd 2021-09-24 /pmc/articles/PMC8463070/ /pubmed/34558412 http://dx.doi.org/10.7554/eLife.73191 Text en © 2021, Ochoa de Olza https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
| spellingShingle | Cancer Biology Ochoa de Olza, Maria A promising platform for predicting toxicity |
| title | A promising platform for predicting toxicity |
| title_full | A promising platform for predicting toxicity |
| title_fullStr | A promising platform for predicting toxicity |
| title_full_unstemmed | A promising platform for predicting toxicity |
| title_short | A promising platform for predicting toxicity |
| title_sort | promising platform for predicting toxicity |
| topic | Cancer Biology |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8463070/ https://www.ncbi.nlm.nih.gov/pubmed/34558412 http://dx.doi.org/10.7554/eLife.73191 |
| work_keys_str_mv | AT ochoadeolzamaria apromisingplatformforpredictingtoxicity AT ochoadeolzamaria promisingplatformforpredictingtoxicity |