Diabetes noninvasive diagnostics and monitoring through volatile biomarkers analysis in the exhaled breath using optical absorption spectroscopy.

Kistenev, Yury V; Borisov, Alexey V; Zasedatel, Vyacheslav S; Spirina, Liudmila V

Kistenev, Yury V; Borisov, Alexey V; Zasedatel, Vyacheslav S; Spirina, Liudmila V.

Afiliación

Kistenev YV; Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia.
Borisov AV; Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia.
Zasedatel VS; Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia.
Spirina LV; Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia.

J Biophotonics ; 16(12): e202300198, 2023 12.

Article en En | MEDLINE | ID: mdl-37643222

Asunto(s)

Diabetes Mellitus; Compuestos Orgánicos Volátiles; Humanos; Compuestos Orgánicos Volátiles/análisis; Pruebas Respiratorias/métodos; Diabetes Mellitus/diagnóstico; Espiración; Análisis Espectral; Biomarcadores

Palabras clave

diabetes; e-nose; exhaled air; laser absorption spectroscopy; machine learning; predictive data models; volatile organic and inorganic compounds

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Diabetes Mellitus / Compuestos Orgánicos Volátiles Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Biophotonics Asunto de la revista: BIOFISICA Año: 2023 Tipo del documento: Article

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