Showing results (11-20 of 66) with videos related to

Sort By:
Pageof 7
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing|April 12, 2023
Predictors of cardiovascular implantable electronic device dependence at long-term follow-up after alcohol septal ablation in hypertrophic cardiomyopathy patientsWeeranun D Bode, Michael F Bode, Megan Zhao, et al.
Circulation. Genomic and Precision Medicine|April 23, 2021
Prediction of Genotype Positivity in Patients With Hypertrophic Cardiomyopathy Using Machine LearningLusha W Liang, Michael A Fifer, Kohei Hasegawa, et al.
The American Journal of Cardiology|May 9, 2006
Time course of pressure gradient response after first alcohol septal ablation for obstructive hypertrophic cardiomyopathyDanita M Yoerger, Michael H Picard, Igor F Palacios, et al.
Critical Care (London, England)|March 2, 2006
Natriuretic peptide testing for the evaluation of critically ill patients with shock in the intensive care unit: a prospective cohort studyJames L Januzzi, Alexander Morss, Roderick Tung, et al.
Circulation. Genomic and Precision Medicine|October 17, 2022
Prediction of Major Adverse Cardiovascular Events in Patients With Hypertrophic Cardiomyopathy Using Proteomics ProfilingYuichi J Shimada, Yoshihiko Raita, Lusha W Liang, et al.
Circulation. Heart Failure|July 1, 2021
Comprehensive Proteomics Profiling Reveals Circulating Biomarkers of Hypertrophic CardiomyopathyYuichi J Shimada, Yoshihiko Raita, Lusha W Liang, et al.
Heart (British Cardiac Society)|March 30, 2022
Proteomics profiling reveals a distinct high-risk molecular subtype of hypertrophic cardiomyopathyLusha W Liang, Yoshihiko Raita, Kohei Hasegawa, et al.
Heart (British Cardiac Society)|July 14, 2023
Prediction of worsening heart failure in hypertrophic cardiomyopathy using plasma proteomicsHeidi S Lumish, Lusha W Liang, Kohei Hasegawa, et al.
International Journal of Cardiology|December 20, 2024
Detection of late gadolinium enhancement in patients with hypertrophic cardiomyopathy using machine learningKeitaro Akita, Kenichiro Suwa, Kazuto Ohno, et al.
Pageof 7