Cargando…
Artificial intelligence in breast cancer diagnostics
Since breast cancer deaths are mainly due to metastasis, predicting the risk that a primary tumor will develop metastasis after a first diagnosis is a central issue that could be addressed by artificial intelligence. To overcome the problem posed by limited availability of standardized datasets, alg...
Autores principales: | La Porta, Caterina AM., Zapperi, Stefano |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798018/ https://www.ncbi.nlm.nih.gov/pubmed/36543102 http://dx.doi.org/10.1016/j.xcrm.2022.100851 |
Ejemplares similares
-
Estimating the Binding of Sars-CoV-2 Peptides to HLA Class I in Human Subpopulations Using Artificial Neural Networks
por: La Porta, Caterina A.M., et al.
Publicado: (2020) -
The Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy and the Epithelial–Mesenchymal Transition
por: Zapperi, Stefano, et al.
Publicado: (2023) -
Blood Flow Contributions to Cancer Metastasis
por: Font-Clos, Francesc, et al.
Publicado: (2020) -
Artificial intelligence-directed prognostication of breast cancer
por: Nasrazadani, Azadeh, et al.
Publicado: (2019) -
Classification of triple negative breast cancer by epithelial mesenchymal transition and the tumor immune microenvironment
por: Font-Clos, Francesc, et al.
Publicado: (2022)