A non-invasive method for concurrent detection of early-stage women-specific cancers
Abstract We integrated untargeted serum metabolomics using high-resolution mass spectrometry with data analysis using machine learning algorithms to accurately detect early stages of the women specific cancers of breast, endometrium, cervix, and ovary across diverse age-groups and ethnicities. A two...
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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Portfolio
2022-02-01
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| Colección: | Scientific Reports |
| Acceso en línea: | https://doi.org/10.1038/s41598-022-06274-9 |
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