Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

There is a need to identify biomarkers predictive of response to neoadjuvant chemotherapy (NACT) in triple-negative breast cancer (TNBC). We previously obtained evidence that a polyamine signature in the blood is associated with TNBC development and progression. In this study, we evaluated whether p...

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Detalles Bibliográficos
Autores principales: Irajizad, Ehsan, Wu, Ranran, Vykoukal, Jody, Murage, Eunice, Spencer, Rachelle, Dennison, Jennifer B., Moulder, Stacy, Ravenberg, Elizabeth, Lim, Bora, Litton, Jennifer, Tripathym, Debu, Valero, Vicente, Damodaran, Senthil, Rauch, Gaiane M., Adrada, Beatriz, Candelaria, Rosalind, White, Jason B., Brewster, Abenaa, Arun, Banu, Long, James P., Do, Kim Anh, Hanash, Sam, Fahrmann, Johannes F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403735/
https://www.ncbi.nlm.nih.gov/pubmed/36034598
http://dx.doi.org/10.3389/frai.2022.876100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403735/
https://www.ncbi.nlm.nih.gov/pubmed/36034598
http://dx.doi.org/10.3389/frai.2022.876100

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