AIMC Topic: Breath Tests

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A Study of Diagnostic Accuracy Using a Chemical Sensor Array and a Machine Learning Technique to Detect Lung Cancer.

Sensors (Basel, Switzerland) Aug 28, 2018
Lung cancer is the leading cause of cancer death around the world, and lung cancer screening remains challenging. This study aimed to develop a breath test for the detection of lung cancer using a chemical sensor array and a machine learning techniqu...
Male Middle Aged Case-Control Studies Lung Neoplasms Prospective Studies Female Reproducibility of Results Aged Support Vector Machine Early Detection of Cancer Breath Tests Humans Machine Learning
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Preliminary investigation of human exhaled breath for tuberculosis diagnosis by multidimensional gas chromatography - Time of flight mass spectrometry and machine learning.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Jan 4, 2018
Tuberculosis (TB) remains a global public health malady that claims almost 1.8 million lives annually. Diagnosis of TB represents perhaps one of the most challenging aspects of tuberculosis control. Gold standards for diagnosis of active TB (culture ...
Male Middle Aged Adolescent Tuberculosis Breath Tests Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Machine Learning Female Young Adult Adult Humans
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Exhaled breath condensate metabolome clusters for endotype discovery in asthma.

Journal of translational medicine Dec 22, 2017
BACKGROUND: Asthma is a complex, heterogeneous disorder with similar presenting symptoms but with varying underlying pathologies. Exhaled breath condensate (EBC) is a relatively unexplored matrix which reflects the signatures of respiratory epitheliu...
Metabolomics Asthma Humans Metabolome Male Machine Learning Breath Tests Child Algorithms Exhalation Cluster Analysis Female
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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...
Signal Processing, Computer-Assisted Acetone Breath Tests Algorithms Female Young Adult Adult ROC Curve Diabetes Mellitus Equipment Design Humans Male Neural Networks, Computer Blood Glucose
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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...
Humans Female Aged Adult Middle Aged Pulmonary Disease, Chronic Obstructive Exhalation Case-Control Studies Support Vector Machine Male Electronic Nose Lung Neoplasms Neoplasm Staging Healthy Volunteers Breath Tests
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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...
Aerosols Asthma Breath Tests Support Vector Machine Lung Diseases Humans Prognosis
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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...
Solid Phase Microextraction Breath Tests Exhalation Small Cell Lung Carcinoma Mass Spectrometry Female Gas Chromatography-Mass Spectrometry Aged Volatile Organic Compounds Aged, 80 and over Smoking Young Adult Middle Aged Humans Lung Neoplasms Case-Control Studies Adult Neural Networks, Computer Adenocarcinoma Sensitivity and Specificity Carcinoma, Non-Small-Cell Lung Biomarkers, Tumor Male
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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...
Prospective Studies Female Risk Factors Aged Adult Humans Fatty Liver Male Volatile Organic Compounds Proof of Concept Study Middle Aged Breath Tests Risk Assessment Electronic Nose Disease Progression
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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...
Biomarkers Animals Male Lung Gene Expression Profiling Machine Learning Microplastics Polystyrenes Volatile Organic Compounds Transcriptome Breath Tests Mice Mice, Inbred C57BL Air Pollutants
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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...
Hydrogen Breath Tests Lactulose Humans ROC Curve Male Machine Learning Methane Middle Aged Female Non-alcoholic Fatty Liver Disease Adult
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