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APPLICATION OF THE ARTIFICIAL INTELLIGENCE MODEL IN THE PREVENTION OF SECONDARY MIXED INFECTIONS IN CONDITIONS OF ACTIVATION OF THE OXYGEN-INDEPENDENT ANTIMICROBIAL SYSTEM

Kostylev Kirill Alexandrovich  (Federal State Budgetary Educational Institution of Higher Education "Kuban State Medical University" of the Ministry of Health of the Russian Federation, Krasnodar)

Evgenevsky Andrey Aleksandrovich  (Candidate of Medical Sciences, Associate Professor of the Department of Histology and Embryology. Senior Researcher at the Department of Clinical and Experimental Immunology and Molecular Biology. Federal State Budgetary Institution of Higher Education "Kuban State Medical University" of the Ministry of Health of the Russian Federation, Krasnodar, Russia )

Kostylev Alexander Nikolaevich  (MD, Professor of the Department of Mobilization Training of Public Health and Disaster Medicine Federal State Budgetary Institution of Higher Education "Kuban State Medical University" of the Ministry of Health of the Russian Federation, Krasnodar, Russia )

Linchenko Sergey Nikolaevich  (MD, Professor, Head of the Department of Mobilization Training of Healthcare and Disaster Medicine Federal State Budgetary Institution of Higher Education "Kuban State Medical University" of the Ministry of Health of the Russian Federation, Krasnodar, Russia )

Onbysh Tatiana Evgenievna  (Candidate of Pharmaceutical Sciences, Associate Professor of the Department of Mobilization Training of Public Health and Disaster Medicine Federal State Budgetary Institution of Higher Education "Kuban State Medical University" of the Ministry of Health of the Russian Federation, Krasnodar, Russia )

Studies of the oxygen-independent antimicrobial system of neutrophil granulocytes when pyro-genal was administered to laboratory animals (rats) allowed us to establish their functional activity by 7-15 days to trigger and implement an immune response. The creation of an artificial intelligence model in the decision support system (Bayesian networks) mode will make it possible to establish the level of resistance of the body within the framework of sanation stress in terms of the average cytochemical coefficient, which is a reflection of the activation of cationic proteins in neutrophil granulocytes in the prevention of secondary mixed infections.

Keywords:artificial intelligence, Bayesian networks, cationic proteins, immunity, mixed infection.
 

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Citation link:
Kostylev K. A., Evgenevsky A. A., Kostylev A. N., Linchenko S. N., Onbysh T. E. APPLICATION OF THE ARTIFICIAL INTELLIGENCE MODEL IN THE PREVENTION OF SECONDARY MIXED INFECTIONS IN CONDITIONS OF ACTIVATION OF THE OXYGEN-INDEPENDENT ANTIMICROBIAL SYSTEM // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№06. -С. 286-290 DOI 10.37882/2223-2966.2025.06.31
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