AIMC Topic: Breath Tests

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Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.

IEEE journal of biomedical and health informatics Sep 28, 2017
Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human serums evaluated, human breath emerges as a promising option with acetone levels in breath exhibiting a good correlation to blood glucose levels. Such...
Humans Neural Networks, Computer Algorithms Female Young Adult Adult Male Signal Processing, Computer-Assisted Acetone Breath Tests Blood Glucose ROC Curve Diabetes Mellitus Equipment Design
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Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis.

Journal of breath research Aug 21, 2017
Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening methods for the early diagnostics of lung cancer. The aim of this study was to determine whether analysis...
Exhalation Electronic Nose Support Vector Machine Neoplasm Staging Humans Healthy Volunteers Female Breath Tests Aged Male Adult Middle Aged Pulmonary Disease, Chronic Obstructive Case-Control Studies Lung Neoplasms
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Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification.

PloS one Sep 30, 2015
BACKGROUND: Each lung structure exhales a unique pattern of aerosols, which can be used to detect and monitor lung diseases non-invasively. The challenges are accurately interpreting the exhaled aerosol fingerprints and quantitatively correlating the...
Humans Lung Diseases Prognosis Asthma Aerosols Support Vector Machine Breath Tests
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Application of an artificial neural network model for selection of potential lung cancer biomarkers.

Journal of breath research May 6, 2015
Determination of volatile organic compounds (VOCs) in the exhaled breath samples of lung cancer patients and healthy controls was carried out by SPME-GC/MS (solid phase microextraction- gas chromatography combined with mass spectrometry) analyses. In...
Carcinoma, Non-Small-Cell Lung Mass Spectrometry Neural Networks, Computer Gas Chromatography-Mass Spectrometry Solid Phase Microextraction Middle Aged Young Adult Humans Female Volatile Organic Compounds Breath Tests Case-Control Studies Smoking Adult Exhalation Lung Neoplasms Small Cell Lung Carcinoma Sensitivity and Specificity Adenocarcinoma Biomarkers, Tumor Male Aged Aged, 80 and over
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The oral microbiome and its effect on exhaled breath volatile analysis-the elephant in the room.

Journal of breath research Aug 11, 2025
The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhaled breath leads to the common and natural conclusion that these volatiles provide information on health and metabolic processes, with considerable pot...
Biomarkers Female Young Adult Adult Cross-Sectional Studies Humans Mouth Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Breath Tests Male Exhalation Middle Aged Principal Component Analysis Microbiota
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Volatomics for Diagnosis and Risk Stratification of MASLD: A Proof-Of-Concept Study.

Alimentary pharmacology & therapeutics Jul 1, 2025
BACKGROUND AND AIMS: Human breath contains numerous volatile organic compounds (VOCs) produced by physiological and metabolic processes or perturbed in pathological states. Electronic nose (eNose) technology has been extensively validated as a non-in...
Proof of Concept Study Breath Tests Risk Factors Electronic Nose Aged Adult Male Middle Aged Humans Risk Assessment Prospective Studies Disease Progression Female Fatty Liver Volatile Organic Compounds
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Unveiling the systemic impact of airborne microplastics: Integrating breathomics and machine learning with dual-tissue transcriptomics.

Journal of hazardous materials Jun 15, 2025
Airborne microplastics (MPs) pose significant respiratory and systemic health risks upon inhalation; however, current assessment methods remain inadequate. This study integrates breathomics and transcriptomics to establish a non-invasive approach for...
Breath Tests Air Pollutants Microplastics Polystyrenes Volatile Organic Compounds Machine Learning Biomarkers Animals Male Lung Gene Expression Profiling Transcriptome Mice Mice, Inbred C57BL
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The machine learning prediction model of non-alcoholic fatty liver; the role of hydrogen and methane breath tests.

Journal of breath research Jun 13, 2025
Nonalcoholic fatty liver disease (NAFLD) is now the leading cause of global chronic liver disease, affecting approximately 32.4% of the population in various regions and imposing healthcare and economic burdens. The gold standard for the diagnosis of...
Humans Machine Learning Female Adult Non-alcoholic Fatty Liver Disease Hydrogen Breath Tests Lactulose Male Middle Aged ROC Curve Methane
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Overcoming methodological barriers in electronic nose clinical studies, a simulation data-based approach.

Journal of breath research May 9, 2025
Analysis of volatile organic compounds by electronic nose (e-nose) may address gaps in non-invasive screening for neoplasia. Machine learning impacts study design and sample size requirements, but guidance on clinical study design is limited. This st...
Humans Breath Tests Computer Simulation Electronic Nose Neoplasms Sample Size Volatile Organic Compounds
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High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience.

Clinical and translational gastroenterology Dec 1, 2019
OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is increasing. The aim of the study was to examine the accuracy of convolutional neural network (CNN) using endoscopic images for evaluating Helicobacter pylori (H. pylo...
Gastroscopy Gastric Mucosa Breath Tests Female Carbon Isotopes Adult Biopsy Male Humans Deep Learning Endoscopy, Gastrointestinal Middle Aged Retrospective Studies Pilot Projects ROC Curve Helicobacter Infections Decision Support Systems, Clinical Helicobacter pylori Image Processing, Computer-Assisted
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