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Predicting responses to chemotherapy in the context that matters - the patient
Guided by the belief that the most important setting for understanding tumor response to drugs is the human patient, we developed a technology called CIVO. CIVO enables analysis of up to 8 therapies simultaneously in a patient's tumor, without inducing systemic toxicity and while maintaining th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845209/ https://www.ncbi.nlm.nih.gov/pubmed/27308571 http://dx.doi.org/10.1080/23723556.2015.1057315 |
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author | Moreno-Gonzalez, Alicia Olson, James M. Klinghoffer, Richard A. |
author_facet | Moreno-Gonzalez, Alicia Olson, James M. Klinghoffer, Richard A. |
author_sort | Moreno-Gonzalez, Alicia |
collection | PubMed |
description | Guided by the belief that the most important setting for understanding tumor response to drugs is the human patient, we developed a technology called CIVO. CIVO enables analysis of up to 8 therapies simultaneously in a patient's tumor, without inducing systemic toxicity and while maintaining the integrity of the native tumor microenvironment. |
format | Online Article Text |
id | pubmed-4845209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-48452092016-06-15 Predicting responses to chemotherapy in the context that matters - the patient Moreno-Gonzalez, Alicia Olson, James M. Klinghoffer, Richard A. Mol Cell Oncol Author's View Guided by the belief that the most important setting for understanding tumor response to drugs is the human patient, we developed a technology called CIVO. CIVO enables analysis of up to 8 therapies simultaneously in a patient's tumor, without inducing systemic toxicity and while maintaining the integrity of the native tumor microenvironment. Taylor & Francis 2015-06-10 /pmc/articles/PMC4845209/ /pubmed/27308571 http://dx.doi.org/10.1080/23723556.2015.1057315 Text en © 2016 The Author(s). Published with license by Taylor & Francis Group, LLC http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted. |
spellingShingle | Author's View Moreno-Gonzalez, Alicia Olson, James M. Klinghoffer, Richard A. Predicting responses to chemotherapy in the context that matters - the patient |
title | Predicting responses to chemotherapy in the context that matters - the patient |
title_full | Predicting responses to chemotherapy in the context that matters - the patient |
title_fullStr | Predicting responses to chemotherapy in the context that matters - the patient |
title_full_unstemmed | Predicting responses to chemotherapy in the context that matters - the patient |
title_short | Predicting responses to chemotherapy in the context that matters - the patient |
title_sort | predicting responses to chemotherapy in the context that matters - the patient |
topic | Author's View |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845209/ https://www.ncbi.nlm.nih.gov/pubmed/27308571 http://dx.doi.org/10.1080/23723556.2015.1057315 |
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