Browsing Faculty of Science & Technology (FST) by Subject "Raman spectroscopy, Breast cancer, Machine learning, Whole blood, Saliva"
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Concurrent Machine learning Assisted Raman Spectroscopy of Whole Blood and Saliva for Breast Cancer Diagnostics
(AJPS, 2021-06-30)Highly sensitive and unique biomarkers are needed for early cancer detection. In particular, biomarkers in biofluids can be useful in detecting the existence of a tumor early in the body. The utility of biofluid markers ...