Author

O. Solovyova

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Physiology· 3 Biophysics· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:electrophysiology· 3 Approach:statistical model· 2 Research Focus:synaptic & neural circuits· 2 Research Focus:cell signaling & trafficking· 1 Assay:clinical cohort / trial· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Dokuchaev· 3 shared S. Khamzin· 3 shared A. Panfilov· 2 shared V. Gurev· 2 shared A. Bazhutina· 1 shared D. Lebedev· 1 shared D. Mangileva· 1 shared J. Kozloski· 1 shared

Activity by Year

2019-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersPhysiology

A. Dokuchaev

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Machine Learning prediction of cardiac resynchronisation therapy response from combination of clinical and model-driven data

S. Khamzin, A. Dokuchaev, A. Bazhutina, T. Chumarnaya, S. Zubarev, T. Lyubimtseva, V. Lebedeva, D. Lebedev, V. Gurev, O. Solovyova

This study develops a machine learning model to predict cardiac resynchronization therapy (CRT) response by combining clinical data with model-driven biomarkers from personalized cardiac simulations.

Frontiers in Physiology · Dec 14, 2021Peer-reviewedPhysiology

Rotational Activity Around an Obstacle in 2D Cardiac Tissue in Presence of Cellular Heterogeneity

P. Konovalov, D. Mangileva, A. Dokuchaev, O. Solovyova, A. Panfilov

This study numerically examines wave rotation patterns in 2D cardiac tissue with obstacles and gray zones, identifying new rotation regimes and their periodicity factors.

bioRxiv · Sep 28, 2021Physiology

Mechano-calcium and mechano-electric feedbacks in the human cardiomyocyte analyzed in a mathematical model

N. A. Balakina-Vikulova, A. Panfilov, O. Solovyova, L. B. Katsnelson

This study develops a mathematical model of human cardiomyocytes to analyze mechano-calcium and mechano-electric feedbacks and their effects on excitation-contraction coupling.

bioRxiv · Dec 19, 2019Biophysics

A Population Modelling Approach to Studying Age-Related Effects on Excitation-Contraction Coupling in Human Cardiomyocytes

A. Dokuchaev, S. Khamzin, O. Solovyova

The paper uses a population modelling approach to study age-related effects on excitation-contraction coupling in human cardiomyocytes, finding that changes in CaL current have the most significant impact on arrhythmogenic risk.

bioRxiv · Dec 17, 2019 · PreprintPhysiology

Model order reduction for left ventricular mechanics via congruency training

P. Di Achille, J. Parikh, S. Khamzin, O. Solovyova, J. Kozloski, V. Gurev

This paper introduces a model order reduction strategy for 3-D finite element models of ventricular mechanics using congruency training and linear transformations to improve computational efficiency.

bioRxiv · Jul 10, 2019Biophysics