Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Shanzhuo Zhang"'
Publikováno v:
IEEE Access, Vol 8, Pp 84806-84820 (2020)
Cardiac alternans is a dynamical phenomenon in cardiomyocytes, which is linked to the genesis of cardiac mechanical dysfunction and lethal arrhythmias. The beat-to-beat alteration may occur in the amplitude of Ca2+ transients (CaT) or the action pote
Externí odkaz:
https://doaj.org/article/891508ab9e7f4d55852b3ce89888561b
Publikováno v:
IEEE Access, Vol 8, Pp 14579-14587 (2020)
Decent whole-heart segmentation from computed tomography (CT) can greatly contribute to the diagnosis and treatment of cardiovascular diseases. However, due to the difficulties such as blurred boundaries between neighbouring tissues and a large numbe
Externí odkaz:
https://doaj.org/article/35f53633dffe4cf7baf227c9c43080f6
Autor:
Nora Linscheid, Sunil Jit R. J. Logantha, Pi Camilla Poulsen, Shanzhuo Zhang, Maren Schrölkamp, Kristoffer Lihme Egerod, Jonatan James Thompson, Ashraf Kitmitto, Gina Galli, Martin J. Humphries, Henggui Zhang, Tune H. Pers, Jesper Velgaard Olsen, Mark Boyett, Alicia Lundby
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-19 (2019)
The sinus node generates rhythmic heartbeat but the molecular basis of pacemaking is still under debate. Here, the authors combine quantitative proteomics and single-nucleus transcriptomics to characterize the molecular composition of the sinus node
Externí odkaz:
https://doaj.org/article/8be1ba1976464a228f6bde3e4a31e04c
Publikováno v:
IEEE Access, Vol 7, Pp 23421-23429 (2019)
Obtaining precise whole-heart segmentation from computed tomography (CT) or other imaging techniques is prerequisite to clinically analyze the cardiac status, which plays an important role in the treatment of cardiovascular diseases. However, the who
Externí odkaz:
https://doaj.org/article/3288ec0ae71d4f1cb0cb45f323abf46b
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
This simulation study aims to investigate how the Calcium/calmodulin-dependent protein kinase II (CaMKII) overexpression and oxidation would influence the cardiac electrophysiological behavior and its arrhythmogenic mechanism in atria. A new-built Ca
Externí odkaz:
https://doaj.org/article/3b5e9e6e65ad405aac2d43560f12cc19
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Biophysically detailed mathematical models of cardiac electrophysiology provide an alternative to experimental approaches for investigating possible ionic mechanisms underlying the genesis of electrical action potentials and their propagation through
Externí odkaz:
https://doaj.org/article/c71becd9547a460a8edbadbca63fdc6d
Autor:
Shugang Zhang, Shanzhuo Zhang, Xiaoshuai Fan, Wei Wang, Zhen Li, Dongning Jia, Zhiqiang Wei, Henggui Zhang
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
Hydrogen sulfide (H2S), an ambient air pollutant, has been reported to increase cardiac events in patients with cardiovascular diseases, but the underlying mechanisms remain not elucidated. This study investigated the pro-arrhythmic effects of H2S in
Externí odkaz:
https://doaj.org/article/47fab4ab6c3c43b989c09659f6235419
Autor:
Wei Wang, Shanzhuo Zhang, Haibo Ni, Clifford J Garratt, Mark R Boyett, Jules C Hancox, Henggui Zhang
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 11, p e1006594 (2018)
Cardiac electrical alternans (CEA), manifested as T-wave alternans in ECG, is a clinical biomarker for predicting cardiac arrhythmias and sudden death. However, the mechanism underlying the spontaneous transition from CEA to arrhythmias remains incom
Externí odkaz:
https://doaj.org/article/237b1cfb55bc4db3a1731e1b1a16c5e5
Autor:
Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang
Publikováno v:
Nature Machine Intelligence. 4:127-134
Effective molecular representation learning is of great importance to facilitate molecular property prediction. Recent advances for molecular representation learning have shown great promise in applying graph neural networks to model molecules. Moreo
Molecular property prediction is a fundamental task in the drug and material industries. Physically, the properties of a molecule are determined by its own electronic structure, which is a quantum many-body system and can be exactly described by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eef28f1d9ce4fd6febf67e94ae5bb44
https://doi.org/10.21203/rs.3.rs-2151362/v1
https://doi.org/10.21203/rs.3.rs-2151362/v1