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Nathaniel Diamant

Showing results (11-20 of 18) with videos related to

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Plos One|August 25, 2023
Identifying high risk clinical phenogroups of pulmonary hypertension through a clustering analysisPaula Rambarat, Emily K Zern, Dongyu Wang, et al.
Nature Communications|June 30, 2022
Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depotsSaaket Agrawal, Minxian Wang, Marcus D R Klarqvist, et al.
Circulation|November 8, 2021
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial FibrillationShaan Khurshid, Samuel Friedman, Christopher Reeder, et al.
Nature Biotechnology|November 7, 2025
Publisher Correction: Deep-learning-based virtual screening of antibacterial compoundsGabriele Scalia, Steven T Rutherford, Ziqing Lu, et al.
Nature Biotechnology|October 24, 2025
Deep-learning-based virtual screening of antibacterial compoundsGabriele Scalia, Steven T Rutherford, Ziqing Lu, et al.
European Journal of Preventive Cardiology|October 5, 2023
Deep learned representations of the resting 12-lead electrocardiogram to predict at peak exerciseShaan Khurshid, Timothy W Churchill, Nathaniel Diamant, 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.
NPJ Digital Medicine|April 9, 2022
Cohort design and natural language processing to reduce bias in electronic health records researchShaan Khurshid, Christopher Reeder, Lia X Harrington, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Plos One|August 25, 2023
Identifying high risk clinical phenogroups of pulmonary hypertension through a clustering analysisPaula Rambarat, Emily K Zern, Dongyu Wang, et al.
Nature Communications|June 30, 2022
Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depotsSaaket Agrawal, Minxian Wang, Marcus D R Klarqvist, et al.
Circulation|November 8, 2021
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial FibrillationShaan Khurshid, Samuel Friedman, Christopher Reeder, et al.
Nature Biotechnology|November 7, 2025
Publisher Correction: Deep-learning-based virtual screening of antibacterial compoundsGabriele Scalia, Steven T Rutherford, Ziqing Lu, et al.
Nature Biotechnology|October 24, 2025
Deep-learning-based virtual screening of antibacterial compoundsGabriele Scalia, Steven T Rutherford, Ziqing Lu, et al.
European Journal of Preventive Cardiology|October 5, 2023
Deep learned representations of the resting 12-lead electrocardiogram to predict at peak exerciseShaan Khurshid, Timothy W Churchill, Nathaniel Diamant, 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.
NPJ Digital Medicine|April 9, 2022
Cohort design and natural language processing to reduce bias in electronic health records researchShaan Khurshid, Christopher Reeder, Lia X Harrington, et al.
Pageof 2