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Публикации

2026

Sleptsova E., Vershinina O., Ivanchenko M., Turubanova V. (2026). From Data to Decision: Integrating Bioinformatics into Glioma Patient Stratification and Immunotherapy Selection. International Journal of Molecular Sciences, 27(2), 667.
Kobelyatskaya A., Novoselova A., Bylinskaya K., Nemirovich-Danchenko N., Ivanchenko M., Franceschi C., Moskalev A. (2026). exBAClock: a comprehensive database of published clocks for age quantification and age-related diseases. Ageing Research Reviews, 103031.

2025

Krivonosov M.I., Khabarova T.A., Kondakova E.V., Shvets T.A., Grigoryeva V.N., Franceschi C., Polevaya S.A., Ivanchenko M.V. (2025). Cognitive aging clock based on Explainable artificial intelligence. npj Aging, 11, 105. DOI: 10.1038/s41514-025-00289-y
Laptyeva T., Jalan S., Ivanchenko M. (2025). Explosive synchronization in multiplex multiple timescale networks with higher-order interactions. Chaos, Solitons & Fractals, 192, 116003.
Vershinina O., Turubanova V., Krivonosov M., Trukhanov A., Ivanchenko M. (2025). Explainable machine learning models for glioma subtype classification and survival prediction. Cancers, 17(16), 2614.
Kalyakulina A., Yusipov I., Trukhanov A., Franceschi C., Moskalev A., Ivanchenko M. (2025). EpInflammAge: epigenetic-inflammatory clock for disease-associated biological aging based on deep learning. International Journal of Molecular Sciences, 26(13), 6284.
Vershinina O., Sabbatinelli J., Bonfigli A.R., Colombaretti D., Giuliani A., Krivonosov M., Trukhanov A., Franceschi C., Ivanchenko M., Olivieri F. (2025). Explainable artificial intelligence model predicting the risk of all-cause mortality in patients with type 2 diabetes mellitus. Frontiers in Endocrinology, 16, 1689312.
Franceschi C., Olivieri F., Moskalev A., Ivanchenko M., Santoro A. (2025). Toward precision interventions and metrics of inflammaging. Nature aging, 5(8), 1441-1454.
Vershinina O., Sushentsev N., Zaikin A., Blyuss O., Barrett T., Ivanchenko M. (2025). Improving the Potential for Predicting Prostate Cancer Progression in Patients on Active Surveillance Using Explainable Artificial Intelligence. Cancers, 17(22), 3598.
Varekhina A., Pakhomov A., Sotskov V., Anokhin K., Krivonosov M., Ivanchenko M. (2025). Triple Analysis Algorithms in the Networks of the Calcium Neuron Activity. International Conference on Mathematical Modeling and Supercomputer Technologies, 255-267.
Субботин А.К., Мазалов К.В., Григорьева Н.Ю., Бычкова Е.В., Яшина Е.М., Богданович О.В. (2025). Клинические и эхокардиографические особенности течения артериальной гипертензии у пациентов с псориазом. Терапия, S1, 114.
Grigoryeva N.Yu., Arutyunov G.P., Tarlovskaya E.I., Arutyunov A.G., Lopatin Yu.M., Chesnikova A.I. (2025). Impact of vaccination status on the clinical course and outcomes of acute COVID-19 period: data from the international registry “Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors” (AKTIV-4). Российский кардиологический журнал, 30(3), 6010.

2024

Zemlyanaya A.A., Parin S.B., Polevaya S.A., Fedotchev A.I. (2024). Closed-loop methods of non-invasive brain stimulation in the diagnosis and correction of cognitive impairments. Opera Medica et Physiologica, 11(4), 104-110. DOI: 10.24412/2500-2295-2024-4-104-110
Постникова Л.Б., Симулин М.А., Григорьева Н.Ю., Погребецкая В.А. (2024). Ранняя диагностика поздней бронхиальной астмы у коморбидных пациентов. Vestnik Sovremennoi Klinicheskoi Mediciny, 17(3), 44-52.
Соловьева Д.В., Григорьева Н.Ю., Вилкова О.Е., Ярыгин В.В. (2024). Особенности клинического течения инфаркта миокарда в зависимости от возраста. Медицинский альманах, 78(1), 53-60.
Петрова М.О., Григорьева Н.Ю., Королева Е.В., Кондакова Е.В. (2024). Особенности ремоделирования миокарда у пациентов с коронавирусной инфекцией и сопутствующей хронической ишемической болезнью сердца. Неотложная кардиология и кардиоваскулярные риски, 8(1), 2105-2112.
Kalyakulina A., Yusipov I., Moskalev A., Franceschi C., Ivanchenko M. (2024). eXplainable Artificial Intelligence (XAI) in aging clock models. Ageing Research Reviews, 93, 102144.
Prattichizzo F., Frigé C., Pellegrini V., Scisciola L., Santoro A., Monti D., Rippo M.R., Ivanchenko M., Olivieri F., Franceschi C. (2024). Organ-specific biological clocks: Ageotyping for personalized anti-aging medicine. Ageing Research Reviews, 96, 102253.
Vedrukov P.E., Ivlev A.D., Liniov A.V., Meyerov I.B., Ivanchenko M.V. (2024). Quantum process tomography on cloud-accessible quantum computing platforms. Lobachevskii Journal of Mathematics, 45(1), 119-129.
Yusipov I., Kalyakulina A., Trukhanov A., Franceschi C., Ivanchenko M. (2024). Map of epigenetic age acceleration: a worldwide analysis. Ageing Research Reviews, 100, 102418.
Kalyakulina A., Yusipov I., Kondakova E., Sivtseva T., Zakharova R., Semenov S., Klimova T., Ammosova E., Trukhanov A., Franceschi C. (2024). Inflammaging markers in the extremely cold climate: a case study of Yakutian population. International Journal of Molecular Sciences, 25(24), 13741.

2023

Fedotchev A.I., Parin S.B., Polevaya S.A. (2023). Resonance Scanning as an Efficiency Enhancer for EEG-Guided Adaptive Neurostimulation. Life, 13(3), 620. DOI: 10.3390/life13030620
Polevaya S.A., Fedotchev A.I., Parin S.B. (2023). Comparative study of light and music stimulation controlled by one’s own or by others’ biopotentials of the brain and heart. International Journal of Psychophysiology, 188, 107. DOI: 10.1016/j.ijpsycho.2023.05.274
Polevaia S.A., Permiakov S.A., Parin S.B., Parina I.S., Cirkova M.M., Eremin E.V. (2023). Unique cardiac rhythm abnormalities in COVID-19 patients. International Journal of Psychophysiology, 188, 107. DOI: 10.1016/j.ijpsycho.2023.05.275
Stasenko S.V., Kovalychuk A.V., Eremin E.V., Drugova O.V., Zarechnova N.V., Tsirkova M.M., Permyakov S.A., Parin S.B., Polevaya S.A. (2023). Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram. Sensors, 23(11), 5272. DOI: 10.3390/s23115272
Krysko O., Korsakova D., Teufelberger A., De Meyer A., Steels J., De Ruyck N., van Ovost J., Van Nevel S., Holtappels G., Coppieters F. (2023). Differential protease content of mast cells and the processing of IL-33 in Alternaria alternata induced allergic airway inflammation in mice. Frontiers in Immunology, 14, 1040493.
Kalyakulina A., Yusipov I., Kondakova E., Bacalini M.G., Franceschi C., Vedunova M., Ivanchenko M. (2023). Small immunological clocks identified by deep learning and gradient boosting. Frontiers in Immunology, 14, 1177611.
Kalyakulina A., Yusipov I., Ivanchenko M. (2023). Obtaining Longevity Footprints in DNA Methylation Data Using Different Machine Learning Approaches. Artificial Intelligence for Healthy Longevity, 67-89.
Kalyakulina A., Yusipov I., Kondakova E., Bacalini M.G., Giuliani C., Sivtseva T., Semenov S., Ksenofontov A., Nikolaeva M., Khusnutdinova E. (2023). Epigenetics of the far northern Yakutian population. Clinical Epigenetics, 15(1), 189.
Vershinina O., Ivanchenko M. (2023). Metastable oscillations in an evolutionary game: synchronization and control. Physics Letters A, 491, 129210.
Laptyeva T., Jalan S., Ivanchenko M. (2023). Synchronization in the two time-scale multiplex network with symplectic interactions. Genes & Cells, 18(4), 854-857.
Krivonosov M.I., Varekhina A.V., Anokhin K.V., Ivanchenko M.V. (2023). Associations of neuro-glial network calcium activity with mice movements in vivo. Genes & Cells, 18(4), 850-853.

2022

Polevaya S.A., Parin S.B., Zemlyanaya A.A., Fedotchev A.I. (2022). Dynamics of EEG reactions under combination of resonance scanning and adaptive neurostimulation in patients with post-covid syndrome. Opera Medica et Physiologica, 9(2), 103-109. DOI: 10.24412/2500-2295-2022-2-103-109
Petukhov A.Yu., Polevaya S.A., Polevaya A.V. (2022). Experimental Diagnostics of the Emotional State of Individuals Using External Stimuli and a Model of Neurocognitive Brain Activity. Diagnostics, 12(1), 125. DOI: 10.3390/diagnostics12010125
Vedunova M., Turubanova V., Vershinina O., Savyuk M., Efimova I., Mishchenko T., Raedt R., Vral A., Vanhove C., Korsakova D. (2022). DC vaccines loaded with glioma cells killed by photodynamic therapy induce Th17 anti-tumor immunity and provide a four-gene signature for glioma prognosis. Cell Death & Disease, 13(12), 1062.
Kalyakulina A., Yusipov I., Bacalini M.G., Franceschi C., Vedunova M., Ivanchenko M. (2022). Disease classification for whole-blood DNA methylation: meta-analysis, missing values imputation, and XAI. Gigascience, 11, giac097.
Yusipov I., Ivanchenko M.V. (2022). Quantum Lyapunov exponents and complex spacing ratios: Two measures of dissipative quantum chaos. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(4).
Verma R.K., Kalyakulina A., Mishra A., Ivanchenko M., Jalan S. (2022). Role of mitochondrial genetic interactions in determining adaptation to high altitude human population. Scientific Reports, 12(1), 2046.
Krivonosov M., Nazarenko T., Bacalini M.G., Vedunova M., Franceschi C., Zaikin A., Ivanchenko M. (2022). Age-related trajectories of DNA methylation network markers: A parenclitic network approach to a family-based cohort of patients with Down Syndrome. Chaos, Solitons & Fractals, 165, 112863.
Yusipov I., Kondakova E., Kalyakulina A., Krivonosov M., Lobanova N., Bacalini M.G., Franceschi C., Vedunova M., Ivanchenko M. (2022). Accelerated epigenetic aging and inflammatory/immunological profile (ipAGE) in patients with chronic kidney disease. Geroscience, 44(2), 817-834.
Makovkin S., Kozinov E., Ivanchenko M., Gordleeva S. (2022). Controlling synchronization of gamma oscillations by astrocytic modulation in a model hippocampal neural network. Scientific reports, 12(1), 6970.
Mitroshina E.V., Loginova M.M., Yarkov R.S., Urazov M.D., Novozhilova M.O., Krivonosov M.I., Ivanchenko M.V., Vedunova M.V. (2022). Inhibition of neuronal necroptosis mediated by RIPK1 provides neuroprotective effects on hypoxia and ischemia in vitro and in vivo. International journal of molecular sciences, 23(2), 735.
Mitroshina E.V., Pakhomov A.M., Krivonosov M.I., Yarkov R.S., Gavrish M.S., Shkirin A.V., Ivanchenko M.V., Vedunova M.V. (2022). Novel algorithm of network calcium dynamics analysis for studying the role of astrocytes in neuronal activity in Alzheimer’s disease models. International Journal of Molecular Sciences, 23(24), 15928.
Krivonosov M.I., Kondakova E.V., Bulanov N.A., Polevaya S.A., Franceschi C., Ivanchenko M.V., Vedunova M.V. (2022). A new cognitive clock matching phenotypic and epigenetic ages. Translational psychiatry, 12(1), 364.

2021

Fedotchev A.I., Parin S.B., Polevaya S.A., Zemlyanaya A.A. (2021). EEG-based musical neurointerfaces in the correction of stress-induced states. Brain-Computer Interfaces, 1-6. DOI: 10.1080/2326263X.2021.1964874
Fedotchev A.I., Polevaya S.A., Parin S.B., Zemlyanaya A.A. (2021). Human Body Rhythms in the Development of Non-Invasive Methods of Closed-Loop Adaptive Neurostimulation. Journal of Personalized Medicine, 11(5), 437-443. DOI: 10.3390/jpm11050437
Fedotchev A.I., Parin S.B., Polevaya S.A. (2021). Adaptive Neurostimulation Methods in Correcting Posttraumatic Stress Disorder and Professional Burnout Syndrome. Opera Medica et Physiologica, 8(2), 68-74. DOI: 10.24412/2500-2295-2021-2-68-74
Verma R.K., Kalyakulina A., Giuliani C., Shinde P., Kachhvah A.D., Ivanchenko M., Jalan S. (2021). Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes. Scientific reports, 11(1), 133.
Krysko O., Kondakova E., Vershinina O., Galova E., Blagonravova A., Gorshkova E., Bachert C., Ivanchenko M., Krysko D.V., Vedunova M. (2021). Artificial intelligence predicts severity of COVID-19 based on correlation of exaggerated monocyte activation, excessive organ damage and hyperinflammatory syndrome: a prospective clinical study. Frontiers in immunology, 12, 715072.
Loginova M., Mishchenko T., Savyuk M., Guseva S., Gavrish M., Krivonosov M., Ivanchenko M., Fedotova J., Vedunova M. (2021). Double-edged sword of vitamin D3 effects on primary neuronal cultures in hypoxic states. International Journal of Molecular Sciences, 22(11), 5417.
Yusipov I.I., Volokitin V.D., Liniov A.V., Ivanchenko M.V., Meyerov I.B., Denisov S.V. (2021). Machine learning versus semidefinite programming approach to a particular problem of the theory of open quantum systems. Lobachevskii Journal of Mathematics, 42(7), 1622-1629.
Gordleeva S.Yu., Tsybina Y.A., Krivonosov M.I., Ivanchenko M.V., Zaikin A.A., Kazantsev V.B., Gorban A.N. (2021). Modeling working memory in a spiking neuron network accompanied by astrocytes. Frontiers in Cellular Neuroscience, 15, 631485.
Yusipov I.I., Denisov S.V., Ivanchenko M.V. (2021). Chaotic spin-photonic quantum states in an open periodically modulated cavity. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31(1).
Mitroshina E.V., Loginova M.M., Savyuk M.O., Krivonosov M.I., Mishchenko T.A., Tarabykin V.S., Ivanchenko M.V., Vedunova M.V. (2021). Neuroprotective effect of kinase inhibition in ischemic factor modeling in vitro. International Journal of Molecular Sciences, 22(4), 1885.
Pellegrini C., Pirazzini C., Sala C., Sambati L., Yusipov I., Kalyakulina A., Ravaioli F., Kwiatkowska K.M., Durso D.F., Ivanchenko M. (2021). A meta-analysis of brain DNA methylation across sex, age, and Alzheimer’s disease points for accelerated epigenetic aging in neurodegeneration. Frontiers in aging neuroscience, 13, 639428.
Vershinina O., Bacalini M.G., Zaikin A., Franceschi C., Ivanchenko M. (2021). Disentangling age-dependent DNA methylation: deterministic, stochastic, and nonlinear. Scientific reports, 11(1), 9201.
Makovkin S., Laptyeva T., Jalan S., Ivanchenko M. (2021). Synchronization in multiplex models of neuron–glial systems: Small-world topology and inhibitory coupling. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31(11).
Shinde P., Whitwell H.J., Verma R.K., Ivanchenko M., Zaikin A., Jalan S. (2021). Impact of modular mitochondrial epistatic interactions on the evolution of human subpopulations. Mitochondrion, 58, 111-122.

2020

Whitwell H.J., Bacalini M.G., Blyuss O., Chen S., Garagnani P., Gordleeva S.Yu., Jalan S., Ivanchenko M., Kanakov O., Kustikova V. (2020). The human body as a super network: Digital methods to analyze the propagation of aging. Frontiers in aging neuroscience, 12, 136.
Cohen A.A., Kennedy B.K., Anglas U., Bronikowski A.M., Deelen J., Dufour F., Ferbeyre G., Ferrucci L., Franceschi C., Frasca D. (2020). Lack of consensus on an aging biology paradigm? A global survey reveals an agreement to disagree, and the need for an interdisciplinary framework. Mechanisms of ageing and development, 191, 111316.
Makovkin S.Yu., Shkerin I.V., Gordleeva S.Yu., Ivanchenko M.V. (2020). Astrocyte-induced intermittent synchronization of neurons in a minimal network. Chaos, Solitons & Fractals, 138, 109951.
Gordleeva S., Kanakov O., Ivanchenko M., Zaikin A., Franceschi C. (2020). Brain aging and garbage cleaning: modelling the role of sleep, glymphatic system, and microglia senescence in the propagation of inflammaging. Seminars in Immunopathology, 42(5), 647-665.
Andreev A.V., Ivanchenko M.V., Pisarchik A.N., Hramov A.E. (2020). Stimulus classification using chimera-like states in a spiking neural network. Chaos, Solitons & Fractals, 139, 110061.
Kalyakulina A.I., Yusipov I.I., Moskalenko V.A., Nikolskiy A.V., Kosonogov K.A., Osipov G.V., Zolotykh N.Yu., Ivanchenko M.V. (2020). LUDB: a new open-access validation tool for electrocardiogram delineation algorithms. IEEE access, 8, 186181-186190.
Denisov S., Vershinina O., Thingna J., Hänggi P., Ivanchenko M. (2020). Quasi-stationary states of game-driven systems: A dynamical approach. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(12).
Savyuk M., Krivonosov M., Mishchenko T., Gazaryan I., Ivanchenko M., Khristichenko A., Poloznikov A., Hushpulian D., Nikulin S., Tonevitsky E. (2020). Neuroprotective effect of HIF prolyl hydroxylase inhibition in an in vitro hypoxia model. Antioxidants, 9(8), 662.
Yusipov I.I., Vershinina O.S., Denisov S.V., Ivanchenko M.V. (2020). Photon waiting-time distributions: A keyhole into dissipative quantum chaos. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(2).
Yusipov I., Bacalini M.G., Kalyakulina A., Krivonosov M., Pirazzini C., Gensous N., Ravaioli F., Milazzo M., Giuliani C., Vedunova M. (2020). Age-related DNA methylation changes are sex-specific: a comprehensive assessment. Aging (Albany NY), 12(23), 24057.
Mitroshina E.V., Krivonosov M.I., Burmistrov D.E., Savyuk M.O., Mishchenko T.A., Ivanchenko M.V., Vedunova M.V. (2020). Signatures of the consolidated response of astrocytes to ischemic factors in vitro. International Journal of Molecular Sciences, 21(21), 7952.
Meyerov I., Liniov A., Ivanchenko M., Denisov S. (2020). Modeling Complex Quantum Dynamics: Evolution of Numerical Algorithms in the HPC Context. Lobachevskii Journal of Mathematics, 41(8), 1509-1520.
Meyerov I., Kozinov E., Liniov A., Volokitin V., Yusipov I., Ivanchenko M., Denisov S. (2020). Transforming Lindblad equations into systems of real-valued linear equations: Performance optimization and parallelization of an algorithm. Entropy, 22(10), 1133.
Kalyakulina A., Iannuzzi V., Sazzini M., Garagnani P., Jalan S., Franceschi C., Ivanchenko M., Giuliani C. (2020). Investigating mitonuclear genetic interactions through machine learning: A case study on cold adaptation genes in human populations from different european climate regions. Frontiers in physiology, 11, 575968.

2019

Shinde P., Marrec L., Rai A., Yadav A., Kumar R., Ivanchenko M., Zaikin A., Jalan S. (2019). Symmetry in cancer networks identified: Proposal for multicancer biomarkers. Network Science, 7(4), 541-555.
Yusipov I.I., Ivanchenko M.V. (2019). Quantum neimark-Sacker bifurcation. Scientific Reports, 9(1), 17932.