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Plos Computational Biology
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February 14, 2022
Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling
Nathaniel Diamant, Erik Reinertsen, Steven Song, et al.
JACC. Advances
|
June 28, 2024
A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead Electrocardiogram
Daphne E Schlesinger, Nathaniel Diamant, Aniruddh Raghu, et al.
NPJ Digital Medicine
|
July 27, 2022
Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk
Marcus D R Klarqvist, Saaket Agrawal, Nathaniel Diamant, et al.
Cell Systems
|
April 2, 2026
Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states
Tianyu Liu, Edward De Brouwer, Archit Verma, et al.
Circulation. Cardiovascular Imaging
|
June 15, 2021
Deep Learning to Predict Cardiac Magnetic Resonance-Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs
Shaan Khurshid, Samuel Friedman, James P Pirruccello, et al.
Cardiovascular Digital Health Journal
|
March 10, 2022
Deep learning to estimate cardiac magnetic resonance-derived left ventricular mass
Shaan Khurshid, Samuel Freesun Friedman, James P Pirruccello, et al.
Nature Communications
|
January 17, 2023
BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases
Saaket Agrawal, Marcus D R Klarqvist, Nathaniel Diamant, et al.
Nature
|
November 20, 2024
A cell atlas foundation model for scalable search of similar human cells
Graham Heimberg, Tony Kuo, Daryle J DePianto, et al.
Nature Biotechnology
|
May 27, 2026
Scoring gene importance by interpreting single-cell foundation models
Maxwell P Gold, Miguel Reyes, Nathaniel Diamant, et al.
Nature Methods
|
May 25, 2026
Decoding sequence determinants of gene expression in diverse cellular and disease states
Avantika Lal, Alexander Karollus, Laura Gunsalus, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Plos Computational Biology
|
February 14, 2022
Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling
Nathaniel Diamant, Erik Reinertsen, Steven Song, et al.
JACC. Advances
|
June 28, 2024
A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead Electrocardiogram
Daphne E Schlesinger, Nathaniel Diamant, Aniruddh Raghu, et al.
NPJ Digital Medicine
|
July 27, 2022
Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk
Marcus D R Klarqvist, Saaket Agrawal, Nathaniel Diamant, et al.
Cell Systems
|
April 2, 2026
Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states
Tianyu Liu, Edward De Brouwer, Archit Verma, et al.
Circulation. Cardiovascular Imaging
|
June 15, 2021
Deep Learning to Predict Cardiac Magnetic Resonance-Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs
Shaan Khurshid, Samuel Friedman, James P Pirruccello, et al.
Cardiovascular Digital Health Journal
|
March 10, 2022
Deep learning to estimate cardiac magnetic resonance-derived left ventricular mass
Shaan Khurshid, Samuel Freesun Friedman, James P Pirruccello, et al.
Nature Communications
|
January 17, 2023
BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases
Saaket Agrawal, Marcus D R Klarqvist, Nathaniel Diamant, et al.
Nature
|
November 20, 2024
A cell atlas foundation model for scalable search of similar human cells
Graham Heimberg, Tony Kuo, Daryle J DePianto, et al.
Nature Biotechnology
|
May 27, 2026
Scoring gene importance by interpreting single-cell foundation models
Maxwell P Gold, Miguel Reyes, Nathaniel Diamant, et al.
Nature Methods
|
May 25, 2026
Decoding sequence determinants of gene expression in diverse cellular and disease states
Avantika Lal, Alexander Karollus, Laura Gunsalus, et al.
Page
of 2