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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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2022-02-01
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| Col·lecció: | Scientific Reports |
| Accés en línia: | https://doi.org/10.1038/s41598-022-06274-9 |
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