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Lancet (London, England)
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July 15, 2023
Machine learning-based markers for CAD - Authors' reply
Iain S Forrest, Ben O Petrazzini, Ron Do
The American Journal of Cardiology
|
December 17, 2020
Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic Biobank
Kumardeep Chaudhary, Ben O Petrazzini, Jagat Narula, et al.
Cell Reports Methods
|
December 10, 2024
Ensemble and consensus approaches to prediction of recessive inheritance for missense variants in human disease
Ben O Petrazzini, Daniel J Balick, Iain S Forrest, et al.
European Heart Journal. Digital Health
|
March 12, 2026
Three-year risk prediction of aortic stenosis using routine medical records: derivation and validation in 919 954 individuals from two cohorts
Ben O Petrazzini, Waqas A Malick, Stamatios Lerakis, et al.
Journal of the American College of Cardiology
|
March 25, 2022
Coronary Risk Estimation Based on Clinical Data in Electronic Health Records
Ben O Petrazzini, Kumardeep Chaudhary, Carla Márquez-Luna, et al.
Journal of the American Heart Association
|
April 12, 2023
Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the <i>TTR</i> V122I Variant
Joshua K Park, Ben O Petrazzini, Aparna Saha, et al.
Atherosclerosis
|
January 12, 2025
Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK Biobank
Kyle Gibson, Iain S Forrest, Ben O Petrazzini, et al.
Nature Communications
|
May 11, 2023
A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
Iain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JAMA
|
January 25, 2022
Population-Based Penetrance of Deleterious Clinical Variants
Iain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Science (New York, N.Y.)
|
August 28, 2025
Machine learning-based penetrance of genetic variants
Iain S Forrest, Ha My T Vy, Ghislain Rocheleau, et al.
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Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Lancet (London, England)
|
July 15, 2023
Machine learning-based markers for CAD - Authors' reply
Iain S Forrest, Ben O Petrazzini, Ron Do
The American Journal of Cardiology
|
December 17, 2020
Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic Biobank
Kumardeep Chaudhary, Ben O Petrazzini, Jagat Narula, et al.
Cell Reports Methods
|
December 10, 2024
Ensemble and consensus approaches to prediction of recessive inheritance for missense variants in human disease
Ben O Petrazzini, Daniel J Balick, Iain S Forrest, et al.
European Heart Journal. Digital Health
|
March 12, 2026
Three-year risk prediction of aortic stenosis using routine medical records: derivation and validation in 919 954 individuals from two cohorts
Ben O Petrazzini, Waqas A Malick, Stamatios Lerakis, et al.
Journal of the American College of Cardiology
|
March 25, 2022
Coronary Risk Estimation Based on Clinical Data in Electronic Health Records
Ben O Petrazzini, Kumardeep Chaudhary, Carla Márquez-Luna, et al.
Journal of the American Heart Association
|
April 12, 2023
Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the <i>TTR</i> V122I Variant
Joshua K Park, Ben O Petrazzini, Aparna Saha, et al.
Atherosclerosis
|
January 12, 2025
Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK Biobank
Kyle Gibson, Iain S Forrest, Ben O Petrazzini, et al.
Nature Communications
|
May 11, 2023
A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
Iain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JAMA
|
January 25, 2022
Population-Based Penetrance of Deleterious Clinical Variants
Iain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Science (New York, N.Y.)
|
August 28, 2025
Machine learning-based penetrance of genetic variants
Iain S Forrest, Ha My T Vy, Ghislain Rocheleau, et al.
Page
of 2