Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling
Background: Checkpoint inhibitor therapy of cancer has led to markedly improved survival of a subset of patients in multiple solid malignant tumor types, yet the factors driving these clinical responses or lack thereof are not known. We have developed a mechanistic mathematical model for better unde...
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| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
eLife Sciences Publications Ltd
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/fb8dc9b236644627993affff85ba8824 |
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