Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Viatcheslav Gurev"'
Publikováno v:
Royal Society Open Science, Vol 10, Iss 11 (2023)
Predictions for physical systems often rely upon knowledge acquired from ensembles of entities, e.g. ensembles of cells in biological sciences. For qualitative and quantitative analysis, these ensembles are simulated with parametric families of mecha
Externí odkaz:
https://doaj.org/article/2609bf6acf2440b4822f9f0c103815cc
Autor:
Svyatoslav Khamzin, Arsenii Dokuchaev, Anastasia Bazhutina, Tatiana Chumarnaya, Stepan Zubarev, Tamara Lyubimtseva, Viktoria Lebedeva, Dmitry Lebedev, Viatcheslav Gurev, Olga Solovyova
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Background: Up to 30–50% of chronic heart failure patients who underwent cardiac resynchronization therapy (CRT) do not respond to the treatment. Therefore, patient stratification for CRT and optimization of CRT device settings remain a challenge.O
Externí odkaz:
https://doaj.org/article/8cb281e9b8b643aaa86acdbc6b4c979d
Autor:
Paolo Di Achille, Jaimit Parikh, Svyatoslav Khamzin, Olga Solovyova, James Kozloski, Viatcheslav Gurev
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0219876 (2020)
Computational models of the cardiovascular system and specifically heart function are currently being investigated as analytic tools to assist medical practice and clinical trials. To achieve clinical utility, models should be able to assimilate the
Externí odkaz:
https://doaj.org/article/e9ded6c683274eac96fd56a609912d36
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2019)
Multiscale computational models of the heart are being extensively investigated for improved assessment of drug-induced torsades de pointes (TdP) risk, a fatal side effect of many drugs. Model-derived metrics such as action potential duration and net
Externí odkaz:
https://doaj.org/article/08a42291412d4bae9ff2140d674f32c2
Autor:
Paolo Di Achille, Ahmed Harouni, Svyatoslav Khamzin, Olga Solovyova, John J. Rice, Viatcheslav Gurev
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Patient specific models of ventricular mechanics require the optimization of their many parameters under the uncertainties associated with imaging of cardiac function. We present a strategy to reduce the complexity of parametric searches for 3-D FE m
Externí odkaz:
https://doaj.org/article/698d3ba690fd43a58fc1f1611d130aed
Publikováno v:
Frontiers in Pharmacology, Vol 8 (2017)
While pre-clinical Torsades de Pointes (TdP) risk classifiers had initially been based on drug-induced block of hERG potassium channels, it is now well established that improved risk prediction can be achieved by considering block of non-hERG ion cha
Externí odkaz:
https://doaj.org/article/1fe8356584fd43e095b197dc51dc0ee4
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 11, p e1005783 (2017)
Ectopic heartbeats can trigger reentrant arrhythmias, leading to ventricular fibrillation and sudden cardiac death. Such events have been attributed to perturbed Ca2+ handling in cardiac myocytes leading to spontaneous Ca2+ release and delayed afterd
Externí odkaz:
https://doaj.org/article/16d40edf4a104580bc570d5abd6761f2
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e60287 (2013)
Recruitment of stretch-activated channels, one of the mechanisms of mechano-electric feedback, has been shown to influence the stability of scroll waves, the waves that underlie reentrant arrhythmias. However, a comprehensive study to examine the eff
Externí odkaz:
https://doaj.org/article/a3db4a92ec2e4f63befad652b429923b
Autor:
Soheil Saghafi, Timothy Rumbell, Viatcheslav Gurev, James Kozloski, Francesco Tamagnini, Kyle C. A. Wedgwood, Casey O. Diekman
Alzheimer’s disease (AD) is believed to occur when abnormal amounts of the proteins amyloid beta and tau aggregate in the brain, resulting in a progressive loss of neuronal function. Hippocampal neurons in transgenic mice with amyloidopathy or tauo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c68b4c528bb6bc505a176add7ca4e83d
https://doi.org/10.1101/2023.04.18.537149
https://doi.org/10.1101/2023.04.18.537149
Autor:
Jaimit Parikh, Anastasia Khokhlova, Viatcheslav Gurev, Timothy Rumbell, Xenia Butova, Tatiana Myachina, Jorge Corral Acero, Svyatoslav Khamzin, Olga Solovyova, James R. Kozloski
Publikováno v:
J. Pharmacokinet. Pharmacodyn.
Journal of Pharmacokinetics and Pharmacodynamics
OpenAIRE
Microsoft Academic Graph
Journal of Pharmacokinetics and Pharmacodynamics
OpenAIRE
Microsoft Academic Graph
Biophysical models are increasingly used to gain mechanistic insights by fitting and reproducing experimental and clinical data. The inherent variability in the recorded datasets, however, presents a key challenge. In this study, we present a novel a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30e4b7a82b29053b5845b78470e1713f
https://hdl.handle.net/10995/111333
https://hdl.handle.net/10995/111333