MEDICAL DIAGNOSTICS BY MICROSTRUCTURAL ANALYSIS OF BIOLOGICAL LIQUID DRIED PATTERNS AS A PROBLEM OF BIOINFORMATICS

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Peter Lebedev-Stepanov
Marina Buzoverya
Irina Shishpor
Konstantin Vlasov
Yulia Potekhina

Abstract

Motivation: It is important to develop high-precision computerized methods for quick medical diagnostics based on the unique clinical experience obtained within the past decade. This method provides specialized solutions for diagnostics and the monitoring of specific diseases, identifies reserves of human health, and takes actions to prevent the depletion of these reserves. In this paper we present one of the new directions in bioinformatics, i.e. medical diagnostics by means of an automated expert system on the basis of morphology analysis of digital images of biological liquid dried pattern.


Results: The proposed method is a combination of bioinformatics and biochemistry approaches for obtaining diagnostic information from a morphological analysis of standardized dried patterns of biological liquid sessile drop. We conducted our own research in collaboration with medical diagnostic centers and formed an electronic database for the recognition of the following types of diseases: neoplasms; diabetes mellitus; diseases of the circulatory system; cerebrovascular disease; diseases of the digestive system; diseases of the genitourinary system; infectious diseases; factors relevant to the work; factors associated with environmental pollution; factors related to lifestyle. The laboratory instrument for diagnostics of the human body in pathology states has developed and the diagnostic results have been analyzed.


Availability: Access to the testing of software can be obtained upon request via the contact email below.

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How to Cite
Lebedev-Stepanov, P., Buzoverya, M., Shishpor, I., Vlasov, K., & Potekhina, Y. (2018). MEDICAL DIAGNOSTICS BY MICROSTRUCTURAL ANALYSIS OF BIOLOGICAL LIQUID DRIED PATTERNS AS A PROBLEM OF BIOINFORMATICS. JOURNAL OF BIOINFORMATICS AND GENOMICS, (1 (6). https://doi.org/10.18454/jbg.2018.1.6.1 (Original work published February 15, 2018)
Section
Bioimage informatics

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