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Турсунова Наталья Владимировна

Observed names: N V Tursunova, N. V. Tursunova, N.V. Tursunova, NATALYA V. TURSUNOVA, Natalya Tursunova, Natalya V. Tursunova, Н. В. Турсунова
Observed institutions: Academy of Sciences Republic of Uzbekistan, Novosibirsk Tuberculosis Research Institute, Ministry of Health of the Russian Federation, Institute of Molecular Pathology and Pathomorphology, Federal Research Center of Fundamental and Translational Medicine, Yunusov Institute of the Chemistry of Plant Substances
ORCID: 0009-0003-7796-6292
Observed ORCID: 0009-0003-7796-6292
OpenAlex ID: A5111355924
Monooxygenase System and NO Metabolism in Liver Microsomes of Rats with Toxic Hepatitis and the Effect of Sesquiterpene Lactones
2021 · N. V. Tursunova, V. N. Syrov, et al. · Bulletin of Experimental Biology and Medicine · 9
Tuberculosis Situation in Children and Adolescents in the Siberian Federal District in 2020-2022
2023 · I. V. Pavlenok, N. V. Tursunova, et al. · Tuberculosis and lung diseases · 6
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Impact of the COVID-19 pandemic on the epidemiology and clinical course of tuberculosis: expected and paradoxical consequences
2025 · Yakov Schwartz, Anna Vyazovaya, et al. · BMC Infectious Diseases · 4
Multipotent Stromal Cell Extracellular Vesicle Distribution in Distant Organs after Introduction into a Bone Tissue Defect of a Limb
2021 · Igor Maiborodin, Aleksandr Shevela, et al. · Life · 4
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Molecular Mechanisms of the Cardiotoxic Action of Anthracycline Antibiotics and Statin-Induced Cytoprotective Reactions of Cardiomyocytes
2021 · N. V. Tursunova, M. G. Klinnikova, et al. · Biochemistry (Moscow) Supplement Series B Biomedical Chemistry · 4
Plant Polyproenols as a Prospective Class of Compounds Stimulating the Regenerative Processes
2019 · N.V. Tursunova, M.G. Klinnikova, et al. · Современные проблемы науки и образования · 4
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Medicinal plants
2010 · V. N. Syrov, M. P. Yuldashev, et al. · Pharmaceutical Chemistry Journal · 4
Non-tuberculosis Mycobacteria Species Circulating in the Siberian Federal District of Russia
2024 · NATALYA V. TURSUNOVA, ELENA P. GUSELNIKOVA, et al. · The Bulletin of Contemporary Clinical Medicine · 3
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Molecular mechanisms of the cardiotoxic action of anthracycline antibiotics and statin-induced cytoprotective reactions of cardiomyocytes
2020 · N.V. Tursunova, M.G. Klinnikova, et al. · Biomeditsinskaya Khimiya · 3
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Anti-tumor Activity of Some Natural Compounds
2018 · N.V. Tursunova, B.V. Churin, et al. · Современные проблемы науки и образования · 3
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Features of Myocardial Remodeling and Changes in the Blood Lipid Spectrum in Experimental Doxorubicin-Induced Cardiomyopathy and Atorvastatin Administration
2020 · M. G. Klinnikova, E. V. Koldysheva, et al. · Bulletin of Experimental Biology and Medicine · 2
Effect of the Total Sesquiterpenoid Extract from Artemisia leucodes on Cholepoietic Processes in Rat Liver in the Normal State and During Experimental Hepatitis
2002 · N. V. Tursunova, V. N. Syrov, et al. · Pharmaceutical Chemistry Journal · 2
Spectrum of Non-specific Microflora in Pulmonary Tuberculosis Patients in the Regions of Siberia and the Far East
2024 · ALEXEY V. SALMIN, NATALYA V. TURSUNOVA, et al. · The Bulletin of Contemporary Clinical Medicine · 1
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A specific course of tuberculous spondylitis with concurrent HIV infection
2023 · Sh. N. Rakhmatillaev, P. V. Gavrilov, et al. · Tuberculosis and lung diseases · 1
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Diagnosis of hemostatic disorders in patient with sepsis caused by a triple infection of M. tuberculosis, P. aeruginosa, Kl. pneumoniae
2023 · M. V. Chirtsova, A. A. Khvorostov, et al. · Tuberculosis and lung diseases · 1
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Current Methods of Prevention of Aminoglycoside Ototoxicity in Patients with Pulmonary Tuberculosis
2023 · A. A. Solokha, N. V. Stavitskaya, et al. · Tuberculosis and lung diseases · 1
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The Incidence of Osteoarticular Tuberculosis in the Siberian and Far Eastern Federal Districts in 2018-2020
2022 · Sh. N. Rakhmatillaev, N. V. Tursunova, et al. · Tuberculosis and lung diseases · 1
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Molecular Mechanisms of Correction of Cardiotoxic Effects of Anthracyclins by Cardioprotectors
2020 · N.V. Tursunova, M.G. Klinnikova, et al. · Современные проблемы науки и образования · 1
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Polyprenols from Vitis vinifera Leaves and Their Hepatoprotective Activity
2015 · U. T. Zokirova, N. K. Khidyrova, et al. · Chemistry of Natural Compounds · 1
Objective: To justify the inclusion of input parameters in a neural network designed to predict rehabilitation measures for patients with pulmonary tuberculosis who have lost their permanent work capacity. Material and methods. The study included 335 patients with pulmonary tuberculosis, 212 with a newly diagnosed case and 123 with a chronic form. To predict the effectiveness of rehabilitation measures, a neural network was developed in the Python 3.14 programming language. Its architecture incorporates a multilayer perceptron with direct connections between neurons and backpropagation algorithms. In the context of this study, it was advisable to use a neural network for predicting permanent disability in patients with pulmonary tuberculosis. Results. The following were integrated as input parameters of the neural network: genotype DD of the GSTM1 gene, genotype EE of the GSTT1 gene, genotype ТС of the АВСВ1 gene and polymorphic variants of cytokine genes, including tumor necrosis factor alpha (–308G>A (rs1800629)), interleukin (IL) 1-beta (–31C>T (rs1143627)), IL-4 (–589C>T) (rs2243250)), IL-10 (–592C>A (rs1800872)), and IL-10 (–1082A>G (rs1800896)). Additionally, an adverse recurrent course, multiple and extensive drug resistance, and persistent respiratory and cardiopulmonary failure following a course of rehabilitation were incorporated. Regression analysis showed the statistical significance of all input parameters with respect to the modeling of the dependent variable. As a result of testing the neural network, the prediction accuracy (rehabilitation efficiency) was 88,3%. Conclusion. The use of a neural network provides highly accurate predictions regarding the effectiveness of rehabilitation of patients with pulmonary tuberculosis. This method can be incorporated into clinical pulmonology practice to evaluate persistent disability in such patients. The presented predictive model is expected to form the basis of a comprehensive rehabilitation program that addresses medical, professional and social aspects.ural networks
2026 · M. A. Alymenko, I. E. Garbuzova, et al. · Реабилитология.
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A multimorbid patient: Relationship between tuberculosis, somatic diseases, and some mental disorders
2025 · Oleg A. Serov, Natalya V. Tursunova, et al. · The Bulletin of Contemporary Clinical Medicine
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Diabetes Mellitus and Thyroid Dysfunction in Tuberculosis Patients: Review of Epidemiological Studies
2024 · N. V. Tursunova, N. V. Stavitskaya, et al. · Tuberculosis and lung diseases
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Aminoglycosides in the Treatment of Multidrug-resistant Tuberculosis Patients: Adverse Events and Ways to Correct Them
2024 · ANGELINA A. SOLOKHA, ELIZAVETA I. GORDEEVA, et al. · The Bulletin of Contemporary Clinical Medicine
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Assessing the Significance of Local Inflammatory Changes in the Bronchial Tree for the Efficacy of Pulmonary Tuberculosis Treatment
2024 · TATYANA I. PETRENKO, SERGEY V. SKLYUEV, et al. · The Bulletin of Contemporary Clinical Medicine
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Some Medical and Social Factors Associated With Anxiety and Depression in Respiratory Tuberculosis Patients
2024 · OLEG A. SEROV, ELENA M. ZHUKOVA, et al. · The Bulletin of Contemporary Clinical Medicine
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Works count: 43
Citation count: 55
H-index: 4
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