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Shinsuke Yuasa

Showing results (191-200 of 203) with videos related to

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The Journal of Clinical Investigation|May 20, 2009
Glucocorticoid protects rodent hearts from ischemia/reperfusion injury by activating lipocalin-type prostaglandin D synthase-derived PGD2 biosynthesisSatori Tokudome, Motoaki Sano, Ken Shinmura, et al.
Stem Cell Reports|May 31, 2016
H1foo Has a Pivotal Role in Qualifying Induced Pluripotent Stem CellsAkira Kunitomi, Shinsuke Yuasa, Fumihiro Sugiyama, et al.
Scientific Reports|September 29, 2016
Embryonic type Na<sup>+</sup> channel β-subunit, SCN3B masks the disease phenotype of Brugada syndromeShinichiro Okata, Shinsuke Yuasa, Tomoyuki Suzuki, et al.
Biochemistry and Biophysics Reports|September 29, 2017
Flecainide ameliorates arrhythmogenicity through NCX flux in Andersen-Tawil syndrome-iPS cell-derived cardiomyocytesYusuke Kuroda, Shinsuke Yuasa, Yasuhide Watanabe, et al.
Journal of the American Heart Association|March 17, 2023
Epiphenomenon or Prognostically Relevant Interventional Target? A Novel Proportionality Framework for Severe Tricuspid RegurgitationVera Fortmeier, Mark Lachmann, Matthias Unterhuber, et al.
Cell Metabolism|January 15, 2025
Maternal circadian rhythms during pregnancy dictate metabolic plasticity in offspringNa Yao, Kenichiro Kinouchi, Manami Katoh, et al.
European Heart Journal. Cardiovascular Imaging|November 23, 2023
Artificial intelligence-enabled assessment of right ventricular to pulmonary artery coupling in patients undergoing transcatheter tricuspid valve interventionVera Fortmeier, Mark Lachmann, Lukas Stolz, et al.
Cardiovascular Research|June 29, 2012
Disease characterization using LQTS-specific induced pluripotent stem cellsToru Egashira, Shinsuke Yuasa, Tomoyuki Suzuki, et al.
European Heart Journal. Cardiovascular Imaging|February 3, 2023
Machine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repairTeresa Trenkwalder, Mark Lachmann, Lukas Stolz, et al.
Circulation. Cardiovascular Imaging|January 21, 2025
Deep Learning-Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral RegurgitationMark Lachmann, Vera Fortmeier, Lukas Stolz, et al.
Pageof 21

Showing results (191-200 of 203) with videos related to

Sort By:
Pageof 21
The Journal of Clinical Investigation|May 20, 2009
Glucocorticoid protects rodent hearts from ischemia/reperfusion injury by activating lipocalin-type prostaglandin D synthase-derived PGD2 biosynthesisSatori Tokudome, Motoaki Sano, Ken Shinmura, et al.
Stem Cell Reports|May 31, 2016
H1foo Has a Pivotal Role in Qualifying Induced Pluripotent Stem CellsAkira Kunitomi, Shinsuke Yuasa, Fumihiro Sugiyama, et al.
Scientific Reports|September 29, 2016
Embryonic type Na<sup>+</sup> channel β-subunit, SCN3B masks the disease phenotype of Brugada syndromeShinichiro Okata, Shinsuke Yuasa, Tomoyuki Suzuki, et al.
Biochemistry and Biophysics Reports|September 29, 2017
Flecainide ameliorates arrhythmogenicity through NCX flux in Andersen-Tawil syndrome-iPS cell-derived cardiomyocytesYusuke Kuroda, Shinsuke Yuasa, Yasuhide Watanabe, et al.
Journal of the American Heart Association|March 17, 2023
Epiphenomenon or Prognostically Relevant Interventional Target? A Novel Proportionality Framework for Severe Tricuspid RegurgitationVera Fortmeier, Mark Lachmann, Matthias Unterhuber, et al.
Cell Metabolism|January 15, 2025
Maternal circadian rhythms during pregnancy dictate metabolic plasticity in offspringNa Yao, Kenichiro Kinouchi, Manami Katoh, et al.
European Heart Journal. Cardiovascular Imaging|November 23, 2023
Artificial intelligence-enabled assessment of right ventricular to pulmonary artery coupling in patients undergoing transcatheter tricuspid valve interventionVera Fortmeier, Mark Lachmann, Lukas Stolz, et al.
Cardiovascular Research|June 29, 2012
Disease characterization using LQTS-specific induced pluripotent stem cellsToru Egashira, Shinsuke Yuasa, Tomoyuki Suzuki, et al.
European Heart Journal. Cardiovascular Imaging|February 3, 2023
Machine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repairTeresa Trenkwalder, Mark Lachmann, Lukas Stolz, et al.
Circulation. Cardiovascular Imaging|January 21, 2025
Deep Learning-Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral RegurgitationMark Lachmann, Vera Fortmeier, Lukas Stolz, et al.
Pageof 21