PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning

BACKGROUND: Invasive breast cancer patients are increasingly being treated with neoadjuvant chemotherapy; however, only a fraction of the patients respond to it completely. To prevent overtreatment, there is an urgent need for biomarkers to predict treatment response before administering the therapy...

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Detalles Bibliográficos
Autores principales: Aswolinskiy, Witali, Munari, Enrico, Horlings, Hugo M., Mulder, Lennart, Bogina, Giuseppe, Sanders, Joyce, Liu, Yat-Hee, van den Belt-Dusebout, Alexandra W., Tessier, Leslie, Balkenhol, Maschenka, Stegeman, Michelle, Hoven, Jeffrey, Wesseling, Jelle, van der Laak, Jeroen, Lips, Esther H., Ciompi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644597/
https://www.ncbi.nlm.nih.gov/pubmed/37957667
http://dx.doi.org/10.1186/s13058-023-01726-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644597/
https://www.ncbi.nlm.nih.gov/pubmed/37957667
http://dx.doi.org/10.1186/s13058-023-01726-0

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