Machine learning analysis of volatolomic profiles in breath can identify non-invasive biomarkers of liver disease: A pilot study

Disease-related effects on hepatic metabolism can alter the composition of chemicals in the circulation and subsequently in breath. The presence of disease related alterations in exhaled volatile organic compounds could therefore provide a basis for non-invasive biomarkers of hepatic disease. This s...

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Veröffentlicht in:	PloS one 2021-11, Vol.16 (11), p.e0260098-e0260098
Hauptverfasser:	Thomas, Jonathan N, Roopkumar, Joanna, Patel, Tushar
Format:	Artikel
Sprache:	eng
Schlagworte:	Aluminum Analysis Ascites Biological markers Biology and Life Sciences Biomarkers Biomarkers - analysis Body Fluids - chemistry Breath tests Breath Tests - methods Chromatography Chromatography, Gas Cirrhosis Classification Computer and Information Sciences Diagnosis Evaluation Exhalation Feasibility studies Female Gas chromatography Gastroenterology Hepatology Humans Hypertension Ion mobility spectroscopy Ionic mobility Learning algorithms Liver Liver cirrhosis Liver Cirrhosis - diagnosis Liver Cirrhosis - metabolism Liver diseases Liver Diseases - diagnosis Liver Diseases - metabolism Machine Learning Male Medicine and Health Sciences Metabolism Middle Aged Mortality Oil and Gas Fields Organic compounds Phenotypes Physical Sciences Pilot Projects Research and Analysis Methods Respiratory System - chemistry Scientific imaging Spectroscopy VOCs Volatile organic compounds Volatile Organic Compounds - analysis
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