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Iain S Forrest

Showing results (11-20 of 27) with videos related to

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Journal of the American College of Cardiology|March 25, 2022
Coronary Risk Estimation Based on Clinical Data in Electronic Health RecordsBen O Petrazzini, Kumardeep Chaudhary, Carla Márquez-Luna, et al.
Cell Reports Methods|July 27, 2025
Genetic analyses of eight complex diseases using predicted continuous representations of diseaseRobert Chen, Ghislain Rocheleau, Ben Omega Petrazzini, et al.
Cell Reports. Medicine|April 20, 2024
Genome-first evaluation with exome sequence and clinical data uncovers underdiagnosed genetic disorders in a large healthcare systemIain S Forrest, Áine Duffy, Joshua K Park, et al.
Atherosclerosis|January 12, 2025
Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK BiobankKyle Gibson, Iain S Forrest, Ben O Petrazzini, et al.
American Heart Journal|May 8, 2022
Genome-first recall of healthy individuals by polygenic risk score reveals differences in coronary artery calciumIain S Forrest, Lili Chan, Kumardeep Chaudhary, et al.
Nature Communications|May 11, 2023
A machine learning model identifies patients in need of autoimmune disease testing using electronic health recordsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JAMA|January 25, 2022
Population-Based Penetrance of Deleterious Clinical VariantsIain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Science (New York, N.Y.)|August 28, 2025
Machine learning-based penetrance of genetic variantsIain S Forrest, Ha My T Vy, Ghislain Rocheleau, et al.
Human Mutation|May 18, 2021
Genetic pleiotropy of ERCC6 loss-of-function and deleterious missense variants links retinal dystrophy, arrhythmia, and immunodeficiency in diverse ancestriesIain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Lancet (London, England)|December 23, 2022
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohortsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Journal of the American College of Cardiology|March 25, 2022
Coronary Risk Estimation Based on Clinical Data in Electronic Health RecordsBen O Petrazzini, Kumardeep Chaudhary, Carla Márquez-Luna, et al.
Cell Reports Methods|July 27, 2025
Genetic analyses of eight complex diseases using predicted continuous representations of diseaseRobert Chen, Ghislain Rocheleau, Ben Omega Petrazzini, et al.
Cell Reports. Medicine|April 20, 2024
Genome-first evaluation with exome sequence and clinical data uncovers underdiagnosed genetic disorders in a large healthcare systemIain S Forrest, Áine Duffy, Joshua K Park, et al.
Atherosclerosis|January 12, 2025
Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK BiobankKyle Gibson, Iain S Forrest, Ben O Petrazzini, et al.
American Heart Journal|May 8, 2022
Genome-first recall of healthy individuals by polygenic risk score reveals differences in coronary artery calciumIain S Forrest, Lili Chan, Kumardeep Chaudhary, et al.
Nature Communications|May 11, 2023
A machine learning model identifies patients in need of autoimmune disease testing using electronic health recordsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JAMA|January 25, 2022
Population-Based Penetrance of Deleterious Clinical VariantsIain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Science (New York, N.Y.)|August 28, 2025
Machine learning-based penetrance of genetic variantsIain S Forrest, Ha My T Vy, Ghislain Rocheleau, et al.
Human Mutation|May 18, 2021
Genetic pleiotropy of ERCC6 loss-of-function and deleterious missense variants links retinal dystrophy, arrhythmia, and immunodeficiency in diverse ancestriesIain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Lancet (London, England)|December 23, 2022
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohortsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
Pageof 3