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"Electronic Nose" Accurately Sniffs Out Cancer | Technology Networks

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. ....

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New e-nose spots hard-to-detect forms of cancer

AI and machine learning have been combined to create an 'e-nose' that can identify hard-to-detect cancer with up to 95 percent accuracy. ....

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Odor-based test could serve as a non-invasive approach to screen for harder-to-detect cancers

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. ....

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"Electronic Nose" Accurately Sniffs Out Hard-to-Detect Cancers

PHILADELPHIA An odor-based test that sniffs out vapors emanating from blood samples was able to distinguish between benign and pancreatic and ovarian. ....

University Of Pennsylvania , United States , Penn School , Mark Ohara , Jody Piltz Seymour , George Preti , Christopher Kehayias , Stephanies Yee , Janos Tanyi , Cynthia Otto , Young Eun Lee , Richard Postrel , Rebeccaw Bushnell , At Charlie Johnson , Benjamin Abella , Monell Chemical Senses Center , Dog Center , American Society Of Clinical Oncology , Penn School Of Veterinary Medicine Vet , Astronomy In Penn School Of Arts Sciences , Kleberg Foundation , Perelman School Of Medicine , Abramson Cancer Center , Translational Sciences , National Institutes Of Health Center , Tumor Material Laboratory ,

'Electronic nose' accurately sniffs out hard-to-detect cancers

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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 ....

University Of Pennsylvania , United States , Penn School , Mark Ohara , Jody Piltz Seymour , George Preti , Christopher Kehayias , Stephanies Yee , Janos Tanyi , Cynthia Otto , Young Eun Lee , Richard Postrel , Rebeccaw Bushnell , At Charlie Johnson , Benjamin Abella , Monell Chemical Senses Center , Dog Center , American Society Of Clinical Oncology , Penn School Of Veterinary Medicine Vet , Astronomy In Penn School Of Arts Sciences , Kleberg Foundation , Perelman School Of Medicine , Abramson Cancer Center , Translational Sciences , National Institutes Of Health Center , Tumor Material Laboratory ,