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

Abstract Untargeted serum metabolomics was combined with machine learning-powered data analytics to develop a test for the concurrent detection of multiple cancers in women. A total of fifteen cancers were tested where the resulting metabolome data was sequentially analysed using two separate algori...

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Hlavní autoři: Ankur Gupta, Zaved Siddiqui, Ganga Sagar, Kanury V. S. Rao, Najmuddin Saquib
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2023-11-01
Edice:Scientific Reports
On-line přístup:https://doi.org/10.1038/s41598-023-46553-7
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