A machine learning model to predict efficacy of neoadjuvant therapy in breast cancer based on dynamic changes in systemic immunity

OBJECTIVE: Neoadjuvant therapy (NAT) has been widely implemented as an essential treatment to improve therapeutic efficacy in patients with locally-advanced cancer to reduce tumor burden and prolong survival, particularly for human epidermal growth receptor 2-positive and triple-negative breast canc...

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Detalles Bibliográficos
Autores principales: Wang, Yusong, Wang, Mozhi, Yu, Keda, Xu, Shouping, Qiu, Pengfei, Lyu, Zhidong, Cui, Mingke, Zhang, Qiang, Xu, Yingying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Compuscript 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038070/
https://www.ncbi.nlm.nih.gov/pubmed/36971132
http://dx.doi.org/10.20892/j.issn.2095-3941.2022.0513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038070/
https://www.ncbi.nlm.nih.gov/pubmed/36971132
http://dx.doi.org/10.20892/j.issn.2095-3941.2022.0513

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