«Researchers have used AI and machine learning to create an ‘e-nose’ that can identify hard-to-detect forms of cancer with up to 95% accuracy. The odour-based test sniffs out vapours emanating from blood samples and was able to distinguish between benign and pancreatic and ovarian cancer cells, according to a new study from researchers at the University of Pennsylvania and Penn’s Perelman School of Medicine. Developed at Penn, the non-invasive tool uses artificial intelligence and machine learning to decipher the mixture of volatile organic compounds (VOCs) emitting off cells in blood plasma samples.»

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