Machine learning-based prediction of breast cancer growth rate in vivo

BACKGROUND: Determining the rate of breast cancer (BC) growth in vivo, which can predict prognosis, has remained elusive despite its relevance for treatment, screening recommendations and medicolegal practice. We developed a model that predicts the rate of in vivo tumour growth using a unique study...

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Detalles Bibliográficos
Autores principales: Bhattarai, Shristi, Klimov, Sergey, Aleskandarany, Mohammed A., Burrell, Helen, Wormall, Anthony, Green, Andrew R., Rida, Padmashree, Ellis, Ian O., Osan, Remus M., Rakha, Emad A., Aneja, Ritu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738119/
https://www.ncbi.nlm.nih.gov/pubmed/31395950
http://dx.doi.org/10.1038/s41416-019-0539-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738119/
https://www.ncbi.nlm.nih.gov/pubmed/31395950
http://dx.doi.org/10.1038/s41416-019-0539-x

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