Breathomics using laser photo-acoustic spectroscopy and machine learning
Analysis of volatile molecular biomarkers in the exhaled air, called breathomics, is a promising approach for operative non-invasive medical screening tests. The report is devoted to applications of laser photo-acoustic spectroscopy and machine learning for evaluation of volatile molecular biomarkers' profile to detect a specific disease.
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Yury V. Kistenev
Tomsk State University, Tomsk, 634050, Russia