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Creation and validation of models to predict response to primary treatment in serous ovarian cancer
Nearly a third of patients with high-grade serous ovarian cancer (HGSC) do not respond to initial therapy and have an overall poor prognosis. However, there are no validated tools that accurately predict which patients will not respond. Our objective is to create and validate accurate models of pred...
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| Pubblicato in: | Sci Rep |
|---|---|
| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7971042/ https://ncbi.nlm.nih.gov/pubmed/33727600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-85256-9 |
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