Exploring photoacoustic spectroscopy-based machine learning together with metabolomics to assess breast tumor progression in a xenograft model ex vivo

In the current study, a breast tumor xenograft was established in athymic nude mice by subcutaneous injection of the MCF-7 cell line and assessed the tumor progression by photoacoustic spectroscopy combined with machine learning tools. The advancement of breast tumors in nude mice was validated by t...

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Detalles Bibliográficos
Autores principales: Rodrigues, Jackson, Amin, Ashwini, Raghushaker, Chandavalli Ramappa, Chandra, Subhash, Joshi, Manjunath B., Prasad, Keerthana, Rai, Sharada, Nayak, Subramanya G., Ray, Satadru, Mahato, Krishna Kishore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214996/
https://www.ncbi.nlm.nih.gov/pubmed/33875792
http://dx.doi.org/10.1038/s41374-021-00597-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214996/
https://www.ncbi.nlm.nih.gov/pubmed/33875792
http://dx.doi.org/10.1038/s41374-021-00597-3

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