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Newswise 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

University of pennsylvaniaUnited statesPenn schoolMark oharaJody piltz seymourGeorge pretiChristopher kehayiasStephanies yeeJanos tanyiCynthia ottoYoung eun leeRichard postrelRebeccaw bushnellAt charlie johnsonBenjamin abellaAmerican society of clinical oncology