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Breathomics using laser photo-acoustic spectroscopy and machine learning

Yury Kistenev
Tomsk State University, Tomsk, 634050, Russia

Abstract

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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Speaker

Yury V. Kistenev
Tomsk State University, Tomsk, 634050, Russia
Russia

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