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JACC. Advances|June 28, 2024
A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead ElectrocardiogramDaphne E Schlesinger, Nathaniel Diamant, Aniruddh Raghu, et al.
NPJ Digital Medicine|January 30, 2020
Identifying unreliable predictions in clinical risk modelsPaul D Myers, Kenney Ng, Kristen Severson, et al.
Eclinicalmedicine|February 20, 2026
Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligenceTeya Bergamaschi, Tiffany Yau, Payal Chandak, et al.
Open Heart|May 31, 2022
Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) scoreMayooran Namasivayam, Paul D Myers, John V Guttag, et al.
Frontiers in Cardiovascular Medicine|September 20, 2021
DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac MechanicsManuel A Morales, Maaike van den Boomen, Christopher Nguyen, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 15, 2010
Perturbing the folding energy landscape of the bacterial immunity protein Im7 by site-specific N-linked glycosylationMark M Chen, Alice I Bartlett, Paul S Nerenberg, et al.
The American Journal of Cardiology|January 27, 2009
Relation of death within 90 days of non-ST-elevation acute coronary syndromes to variability in electrocardiographic morphologyZeeshan Syed, Benjamin M Scirica, Satishkumar Mohanavelu, et al.
Neuron|December 3, 2014
Translating human genetics into novel treatment targets for schizophreniaChristian R Schubert, Hualin S Xi, Jens R Wendland, et al.
Journal of Biological Inorganic Chemistry : JBIC : a Publication of the Society of Biological Inorganic Chemistry|June 29, 2019
Solution structure and biochemical characterization of a spare part protein that restores activity to an oxygen-damaged glycyl radical enzymeSarah E J Bowman, Lindsey R F Backman, Rebekah E Bjork, et al.
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