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Samuel Friedman

Showing results (21-30 of 25) with videos related to

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Circulation|November 8, 2021
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial FibrillationShaan Khurshid, Samuel Friedman, Christopher Reeder, et al.
Circulation. Genomic and Precision Medicine|June 6, 2023
Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead ElectrocardiogramsXin Wang, Shaan Khurshid, Seung Hoan Choi, et al.
Nature Communications|May 9, 2020
Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathyJames P Pirruccello, Alexander Bick, Minxian Wang, et al.
Cardiovascular Digital Health Journal|September 1, 2022
Deep learning on resting electrocardiogram to identify impaired heart rate recoveryNathaniel Diamant, Paolo Di Achille, Lu-Chen Weng, et al.
Biorxiv : the Preprint Server for Biology|May 18, 2026
Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associationsLinke Li, Ahmed Alaa, Youxin Tan, et al.
Pageof 3

Showing results (21-30 of 25) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 25 results.
Circulation|November 8, 2021
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial FibrillationShaan Khurshid, Samuel Friedman, Christopher Reeder, et al.
Circulation. Genomic and Precision Medicine|June 6, 2023
Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead ElectrocardiogramsXin Wang, Shaan Khurshid, Seung Hoan Choi, et al.
Nature Communications|May 9, 2020
Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathyJames P Pirruccello, Alexander Bick, Minxian Wang, et al.
Cardiovascular Digital Health Journal|September 1, 2022
Deep learning on resting electrocardiogram to identify impaired heart rate recoveryNathaniel Diamant, Paolo Di Achille, Lu-Chen Weng, et al.
Biorxiv : the Preprint Server for Biology|May 18, 2026
Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associationsLinke Li, Ahmed Alaa, Youxin Tan, et al.
Pageof 3