Decision theory for precision therapy of breast cancer
Abstract Correctly estimating the hormone receptor status for estrogen (ER) and progesterone (PGR) is crucial for precision therapy of breast cancer. It is known that conventional diagnostics (immunohistochemistry, IHC) yields a significant rate of wrongly diagnosed receptor status. Here we demonstr...
Guardado en:
Autores principales: | Michael Kenn, Dan Cacsire Castillo-Tong, Christian F. Singer, Rudolf Karch, Michael Cibena, Heinz Koelbl, Wolfgang Schreiner |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/db1c4ef44c7b4a4b8be90172f163f666 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Paradoxes and Contradictions of the Theory of Decision-Making
por: Н. M. Rakhaev, et al.
Publicado: (2019) -
Network-based machine learning and graph theory algorithms for precision oncology
por: Wei Zhang, et al.
Publicado: (2017) -
Precision antiplatelet therapy for the prevention of ischaemic stroke
por: David Wang -
An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma.
por: Melanie Gschaider, et al.
Publicado: (2012) -
Preference-sensitive decisions of patients with metastatic breast cancer: The need for decision support
por: Julie van de Haterd, et al.
Publicado: (2016)