(Nanowerk News) Despite significant advances, mortality from brain tumors remains high with five-year survival rates of 36%, according to the National Cancer Institute. More accurate diagnoses might improve the situation, but tissue biopsies are invasive and can miss important information about a tumor’s make-up. Imaging-based methods, meanwhile, do not offer sufficient sensitivity and resolution.
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The researchers used high-intensity laser beams to form 3D nickel-nickel oxide nanolayers on a nickel chip. This process resulted in an ultrasensitive biosensor that allowed them to detect minute amounts of tumor-derived materials, such as nucleic acids, proteins and lipids, that made it through the blood-brain-barrier into the circulation. The sensor detected these components using a method known as surface-enhanced Raman spectroscopy, which generated molecular profiles, or fingerprints, for each sample. The researchers then analyzed these profiles with a DEEP neural network to find evidence of a brain tumor and define its type, as well as predict its location within the brain.
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