Electronic Nose

07/25/2020 - "Among these works, the vast majority reported successful E-Nose use for diagnosing Lung Cancer, showing promising results especially when employing the Aeonose tool, discriminating subjects with Lung Cancer from controls in more than 80% of individuals, in most studies. "
03/01/2023 - "The research developed an improved intelligent enhancement learning algorithm based on AdaBoost, that can be applied for lung cancer breath detection by the electronic nose (eNose). "
03/01/2023 - "An improved AdaBoost algorithm for identification of lung cancer based on electronic nose."
06/01/2005 - "Electronic nose shows promise for detecting early-stage lung cancer."
01/01/2005 - "Finally these 11 VOCs are used to diagnose lung cancer patients in Run Run Shaw hospital by our e-nose with an improved artificial neural network (ANN) algorithm combined with imaging method for pattern recognition."

04/09/2020 - "It is crucial for the efficacy of the apple storage to apply methods like electronic nose systems for detection and prediction of spoilage or infection by Penicillium expansum. "
07/21/2022 - "Preliminary Studies on Detection of Fusarium Basal Rot Infection in Onions and Shallots Using Electronic Nose."
11/22/2010 - "In this study, we aimed at classifying 7 different standard microorganism strains which are frequently seen in root canal infections, using odor data collected using an electronic nose instrument. "
09/01/2004 - "The aim of this study is to explore the use of an electronic nose to identify and classify pathogens associated with ear, nose and throat (ENT) infections. "
09/01/2004 - "Clinical evaluation of the electronic nose in the diagnosis of ear, nose and throat infection: a preliminary study."

03/01/2013 - "In patients with stable COPD, the e-nose used in this study has acceptable within-day and between-day repeatability which varies between different sensors."
01/01/2012 - "Thus, e nose might conveniently be used to assess COPD severity and, likely, to study phenotypic variability. "
01/01/2022 - "We proposed a Convolutional Neural Network (CNN) architecture to classify COPD in smokers and non-smokers, healthy subjects, and smokers from E-Nose signals to contribute to this field. "
01/01/2022 - "Fx-Net and PureNet: Convolutional Neural Network architecture for discrimination of Chronic Obstructive Pulmonary Disease from smokers and healthy subjects through electronic nose signals."
01/01/2022 - "Predicting Early Hospital Readmissions in COPD Patients Using an Electronic Nose."

07/26/2023 - "In conclusion, the study of VOCs through GC-MS and e-NOSE appears to hold promise for the non-invasive diagnosis, assessment, and monitoring of asthma, as well as for further research studies on the disease."
01/01/2021 - "Previous studies on exhaled breath analysis by electronic nose (eNose) technology could discriminate between stable and unstable episodes of asthma, using single/few time-points. "
01/01/2015 - "The aim of the study was to investigate the capacity of electronic nose breath-print analysis to discriminate between different inflammatory asthma phenotypes (eosinophilic, neutrophilic, paucigranulocytic) determined by induced sputum in patients with persistent asthma. "
04/12/2023 - "An electronic nose can discriminate pediatric patients with asthma from controls, but the accuracy obtained in the external validation was lower than the CVA obtained in the internal validation step."
04/12/2023 - "We hypothesized that an electronic nose could discriminate the breath prints of patients with asthma from controls. "

06/10/2021 - "This is a preliminary study for developing the "electronic nose" for cancer screening. "
08/01/2009 - "This study shows that it is possible to use an electronic nose to distinguish between two types of tumor cells and between two types of organ tissue. "
01/01/2023 - "Analysis of urine using electronic tongue towards non-invasive cancer diagnosis."
06/01/2022 - "The diagnosis of cancer and other diseases using data from non-specific sensors - such as the electronic tongues (e-tongues) - is challenging owing to the lack of selectivity, in addition to the variability of biological samples. "
06/01/2022 - "Using machine learning and an electronic tongue for discriminating saliva samples from oral cavity cancer patients and healthy individuals."