A non-invasive method for concurrent detection of early-stage women-specific cancers

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-step app...

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Detalles Bibliográficos
Autores principales: Gupta, Ankur, Sagar, Ganga, Siddiqui, Zaved, Rao, Kanury V. S., Nayak, Sujata, Saquib, Najmuddin, Anand, Rajat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831619/
https://www.ncbi.nlm.nih.gov/pubmed/35145183
http://dx.doi.org/10.1038/s41598-022-06274-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831619/
https://www.ncbi.nlm.nih.gov/pubmed/35145183
http://dx.doi.org/10.1038/s41598-022-06274-9

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