Cargando…
Virtual clinical trials identify effective combination therapies in ovarian cancer
A major issue in oncology is the high failure rate of translating preclinical results in successful clinical trials. Using a virtual clinical trial simulations approach, we present a mathematical framework to estimate the added value of combinatorial treatments in ovarian cancer. This approach was a...
Autores principales: | Kozłowska, Emilia, Vallius, Tuulia, Hynninen, Johanna, Hietanen, Sakari, Färkkilä, Anniina, Hautaniemi, Sampsa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904444/ https://www.ncbi.nlm.nih.gov/pubmed/31822719 http://dx.doi.org/10.1038/s41598-019-55068-z |
Ejemplares similares
-
Author Correction: Virtual clinical trials identify effective combination therapies in ovarian cancer
por: Kozłowska, Emilia, et al.
Publicado: (2020) -
Prospective Longitudinal ctDNA Workflow Reveals Clinically Actionable Alterations in Ovarian Cancer
por: Oikkonen, Jaana, et al.
Publicado: (2019) -
Agile workflow for interactive analysis of mass cytometry data
por: Casado, Julia, et al.
Publicado: (2020) -
Functional Homologous Recombination Assay on FFPE Specimens of Advanced High-Grade Serous Ovarian Cancer Predicts Clinical Outcomes
por: Pikkusaari, Sanna, et al.
Publicado: (2023) -
Optimized detection of homologous recombination deficiency improves the prediction of clinical outcomes in cancer
por: Perez-Villatoro, Fernando, et al.
Publicado: (2022)