Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence

Gene expression-based recurrence assays are strongly recommended to guide the use of chemotherapy in hormone receptor-positive, HER2-negative breast cancer, but such testing is expensive, can contribute to delays in care, and may not be available in low-resource settings. Here, we describe the train...

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Detalles Bibliográficos
Autores principales: Howard, Frederick M., Dolezal, James, Kochanny, Sara, Khramtsova, Galina, Vickery, Jasmine, Srisuwananukorn, Andrew, Woodard, Anna, Chen, Nan, Nanda, Rita, Perou, Charles M., Olopade, Olufunmilayo I., Huo, Dezheng, Pearson, Alexander T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104799/
https://www.ncbi.nlm.nih.gov/pubmed/37059742
http://dx.doi.org/10.1038/s41523-023-00530-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104799/
https://www.ncbi.nlm.nih.gov/pubmed/37059742
http://dx.doi.org/10.1038/s41523-023-00530-5

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