Cargando…
Non-Invasive Diagnosis of Malignancies Based on the Analysis of Markers in Exhaled Air
Novel non-invasive methods for the diagnosis of malignancies should be effective for early diagnosis, reproducible, inexpensive, and independent from the human factor. Our aim was to establish the applicability of the non-invasive method, based on the analysis of air exhaled by patients who are at d...
Autores principales: | Chernov, Vladimir I., Choynzonov, Evgeniy L., Kulbakin, Denis E., Menkova, Ekaterina N., Obkhodskaya, Elena V., Obkhodskiy, Artem V., Popov, Aleksandr S., Rodionov, Evgeniy O., Sachkov, Victor I., Sachkova, Anna S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696783/ https://www.ncbi.nlm.nih.gov/pubmed/33187053 http://dx.doi.org/10.3390/diagnostics10110934 |
Ejemplares similares
-
Cancer Diagnosis by Neural Network Analysis of Data from Semiconductor Sensors
por: Chernov, Vladimir I., et al.
Publicado: (2020) -
Sparing Surgery for the Successful Treatment of Thyroid Papillary Carcinoma Invading the Trachea: A Case Report
por: Kulbakin, Denis, et al.
Publicado: (2016) -
Diode Laser Spectrometer for Diagnostic Assessment of Exhaled Air Components
por: Ponurovsky, Ya.Ya., et al.
Publicado: (2020) -
Bronchodilatation increases number of particles in exhaled air in subjects with asthma
por: Olin, Anna-Carin, et al.
Publicado: (2013) -
Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature
por: Saik, Olga V., et al.
Publicado: (2018)