To date, of the 5 human senses, smell has been the most underused in diagnostic medicine. This is not because of its lack of potential; numerous canine studies over the last 2 decades have demonstrated that odors can distinguish multiple benign and malignant diseases.1,2 Our innate inability to discriminate the subtle differences of volatile organic compounds (VOCs), which differentiate the smell of these diseases has required us to develop technology to do so.3 Electronic nose (e-nose) devices use chemical to electrical interfaces to measure the subtle VOC profiles of disease states and when paired with a machine learning platform, can be trained like a canine to serve as a tool for noninvasive diagnostic testing.