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Identification of two-dimensional copper signatures in human blood for bladder cancer with machine learning
Currently, almost all available cancer biomarkers are based on concentrations of compounds, often suffering from low sensitivity, poor specificity, and false positive or negative results. The stable isotopic composition of elements provides a different dimension from the concentration and has been w...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826767/ https://www.ncbi.nlm.nih.gov/pubmed/35282611 http://dx.doi.org/10.1039/d1sc06156a |