Non-invasive diagnosis of diseases using analysis of exhaled air are actively developing in medical practice. The aim of work is to compare a specifics groups of patients with pulmonary diseases. As features of the participants' state, absorption spectra of exhaled air samples were used. The analyzed spectrum is a bar chart which describes the dependence of the absorption coefficient on the wavelength. The problem to be solved is the choice of informative sub-ranges of spectra to improve the classification of the studied groups and the subsequent classification of several spectra for one person by voting methods. An integrated approach was used to solve this problem using the principal component analysis, support vector machine with RBF core and the subsequent voting technique.
The results of a comparative study of an emanation from the skin of patients with diabetes mellitus and healthy volunteers using THz spectroscopy. A technique for collecting and analyzing emanation samples from the skin has been developed, and its applicability in THz spectroscopy has been demonstrated. Good separation of THz spectra of the skin emanations has been shown for the target and control groups by the principal component analysis. It shows that THz spectroscopy of skin emanations is useful for the diagnosis of diabetes mellitus.
KEYWORDS: Colorectal cancer, Blood, Plasma, Cancer, Simulation of CCA and DLA aggregates, Absorption, Terahertz radiation, Statistical analysis, Laser spectroscopy, Tumors
The study of exosomes of saliva and blood plasma by THz laser spectroscopy was carried out. Exosomes were sampled from patients with colorectal cancer (n = 6) and healthy volunteers (n = 5). A substantive examination of the samples absorption spectra was performed using the method of canonical correlation analysis. The presence of Glycine, LAlanine, Mannose was revealed everywhere. The Mannose content was less in exosomes samples corresponding to colorectal cancer in comparison with exosomes samples from healthy volunteers.
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