Current methods for cancer screening are invasive and not accurate in the early stages of the disease. A revolutionary development in the diagnosis of cancer is the analysis of liquid biopsies via Raman spectroscopy. We propose a method for the screening and prognosis of cancer combining Raman spectroscopy with decision algorithms. We tested the efficiency of our method probing the spectra of blood plasma samples from cancer patients and healthy controls, proceeding with a Support Vector Machine classification and a leave-one out cross-validation, obtaining sensitivity and specificity results higher than 90%.
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