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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

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