“Electronic Nose” Accurately Sniffs Out Hard-to-Detect Cancers
Excerpt from the Article:
PHILADELPHIA—An odor-based test that sniffs out vapors emanating from blood samples was able to distinguish between benign and pancreatic and ovarian cancer cells with up to 95 percent accuracy, according to a new study from researchers at the University of Pennsylvania and Penn’s Perelman School of Medicine.
The findings suggest that the Penn-developed tool — which uses artificial intelligence and machine learning to decipher the mixture of volatile organic compounds (VOCs) emitting off cells in blood plasma samples — could serve as a non-invasive approach to screen for harder-to-detect cancers, such as pancreatic and ovarian.
The results will be presented at the annual American Society of Clinical Oncology meeting on June 4 by A. T. Charlie Johnson, PhD, the Rebecca W. Bushnell Professor of Physics and Astronomy in Penn’s School of Arts & Sciences (Abstract # 5544).
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