AIMC Topic: Breath Tests

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Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

The Analyst Aug 4, 2025
Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for preventing the progression of diabetes to complications. In this study, gas chromatography-mass spectrometry (GC-MS) analysis and statistical methods wer...
Butadienes Hemiterpenes Support Vector Machine Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Gases Breath Tests Exhalation Diabetes Complications Aged Male Middle Aged Diabetes Mellitus, Type 2 Machine Learning Biomarkers Female Humans
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Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

BMC cancer Jul 29, 2025
BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five-year survival rate from CRC is only 10% when discovered at a late stage, but can exceed 90% if diagnosed early. Symptoms related to CRC can be non-sp...
Humans Female Colorectal Neoplasms Early Detection of Cancer Multicenter Studies as Topic Volatile Organic Compounds Breath Tests Male Middle Aged Colonoscopy Case-Control Studies
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Determination of lung cancer exhaled breath biomarkers using machine learning-a new analysis framework.

Scientific reports Jul 18, 2025
Exhaled breath samples of lung cancer patients (LC), tuberculosis (TB) patients and asymptomatic controls (C) were analyzed using gas chromatography-mass spectrometry (GC-MS). Ten volatile organic compounds (VOCs) were identified as possible biomarke...
Exhalation Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Breath Tests Female Humans Male Aged Machine Learning Middle Aged Adult Case-Control Studies Biomarkers, Tumor Lung Neoplasms
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Electronic-Nose Technology for Lung Cancer Detection: A Non-Invasive Diagnostic Revolution.

Lung Jul 8, 2025
BACKGROUND: Lung cancer (LC) remains a leading cause of cancer-related mortality worldwide, primarily due to late-stage diagnosis and the absence of effective early detection methods.
Artificial Intelligence Machine Learning Humans Lung Neoplasms Volatile Organic Compounds Early Detection of Cancer Breath Tests Electronic Nose
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Real-Time Detection of Trace Breath Isoprene Based on Circular Domain Spectral Reconstruction Filtering Combined with Convolutional Neural Network.

Analytical chemistry Jul 1, 2025
The detection of trace isoprene in breath provides a noninvasive method for lung cancer diagnosis. However, the presence of interfering components and the parts per billion (ppb) concentration levels of isoprene in breath complicate detection. In thi...
Neural Networks, Computer Convolutional Neural Networks Spectrophotometry, Ultraviolet Breath Tests Humans Pentanes Butadienes Hemiterpenes
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DNA-Mediated Bioinspired MXene Gas Sensor Array with Machine Learning for Noninvasive Cancer Recognition.

ACS nano Jun 28, 2025
Noninvasive odor sensing is important in environmental monitoring and medical diagnosis. The two-dimensional material MXene is widely used due to its unique sensing properties but has limitations in specifically recognizing a certain gas. This study ...
Machine Learning Neoplasms Biosensing Techniques DNA Humans Transition Elements Nitrites Odorants Gases Breath Tests
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Breath profiles in paediatric allergic asthma by proton transfer reaction mass spectrometry.

BMJ open respiratory research Jun 27, 2025
INTRODUCTION: Enhancing paediatric asthma diagnosis is crucial. Molecular analysis of exhaled breath is a rapidly evolving field aimed at harnessing established and innovative technologies for clinical applications. This study evaluates the feasibili...
Female Asthma Feasibility Studies Breath Tests Humans Adolescent Exhalation Gas Chromatography-Mass Spectrometry Child, Preschool Male Protons Biomarkers Child Volatile Organic Compounds Case-Control Studies Mass Spectrometry
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Retrospective cohort study of infection and risk stratification using 6-year UBT data.

Frontiers in public health May 26, 2025
BACKGROUND: () infection is a major global health concern, linked to gastric cancer and metabolic disorders. Despite its widespread prevalence, accurate risk stratification remains challenging. This study aims to develop a machine learning (ML)-base...
Helicobacter pylori Female Aged Breath Tests Humans Middle Aged Adult Machine Learning Risk Assessment Male Retrospective Studies Helicobacter Infections
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Discrimination of Respiratory Tract Infections by a Reduced Graphene Oxide Array Modified with Metal-Organic Frameworks and Metal Phthalocyanines.

ACS nano May 16, 2025
As a prevalent clinical condition, it is critical to distinguish between bacterial and viral respiratory tract infections given their pivotal role in guiding appropriate pharmaceutical interventions and preventing antibiotic misuse. Exhaled breath (E...
Graphite Respiratory Tract Infections Isoindoles Breath Tests Humans Male Electronic Nose Metal-Organic Frameworks Indoles
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Rapid, non-invasive breath analysis for enhancing detection of silicosis using mass spectrometry and interpretable machine learning.

Journal of breath research Mar 21, 2025
Occupational lung diseases, such as silicosis, are a significant global health concern, especially with increasing exposure to engineered stone dust. Early detection of silicosis is helpful for preventing disease progression, but existing diagnostic ...
Case-Control Studies Aged Humans Mass Spectrometry ROC Curve Silicosis Volatile Organic Compounds Breath Tests Adult Male Middle Aged Machine Learning Female
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