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David A. Kass

Researcher at Johns Hopkins University School of Medicine

Publications -  605
Citations -  63963

David A. Kass is an academic researcher from Johns Hopkins University School of Medicine. The author has contributed to research in topics: Heart failure & Cardiac resynchronization therapy. The author has an hindex of 127, co-authored 580 publications receiving 58747 citations. Previous affiliations of David A. Kass include University of Pittsburgh & Johns Hopkins University.

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Circulation Research Editors’ Yearly Report: 2002

TL;DR: Having pioneered online manuscript submission and peer review tracking among the American Heart Association journals, Circulation Research continued to see the fruits of its efforts in the time to first decision for original research articles.
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HFpEF animal models display differences in myofibril mechanics.

TL;DR: In this paper , the authors performed mechanics analysis on cardiac myofibrils from three common heart failure with preserved ejection fraction (HFpEF) animal models to assess potential differences in myoftibrillar force and relaxation kinetics, independent of higher order deficits associated with the disease.
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Unsupervised Machine Learning to Identify and Target Myofilament Mechanisms of Clinical RV Dysfunction in HFrEF

TL;DR: In this article , the authors performed unsupervised ML on right ventricular (RV) catheterization data to identify specific myofilament abnormalities indicative of RV dysfunction, and then characterized the properties of an ideal sarcomere enhancing drug to restore RV contractility.
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Right Ventricular Sarcomere Contractile Depression and the Role of Thick Filament Activation in Human Heart Failure With Pulmonary Hypertension

TL;DR: In this article , an unsupervised machine learning approach was used to characterize right ventricular (RV) myocyte contractile depression in patients with heart failure with reduced ejection fraction and pulmonary hypertension (HFrEF-PH), identifying those components reflected by clinical RV indices and uncover underlying biophysical mechanisms.