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Investigative Ophthalmology & Visual Science
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February 21, 2025
Does Age Modify the Relation Between Genetic Predisposition to Glaucoma and Various Glaucoma Traits in the UK Biobank?
Jihye Kim, Jae H Kang, Janey L Wiggs, et al.
The Journal of Clinical Investigation
|
June 19, 2012
Exome sequencing identifies GATA1 mutations resulting in Diamond-Blackfan anemia
Vijay G Sankaran, Roxanne Ghazvinian, Ron Do, et al.
NPJ Digital Medicine
|
August 24, 2024
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population
Joy Jiang, Ha My Thi Vy, Alexander Charney, 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.
American Heart Journal Plus : Cardiology Research and Practice
|
February 15, 2023
Short-term prediction of coronary artery disease using serum metabolomic patterns
Ben Omega Petrazzini, Akhil Vaid, Joshua K Park, 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.
Nature Communications
|
October 15, 2024
Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score
Robert Chen, Áine Duffy, Ben O Petrazzini, et al.
Lancet (London, England)
|
December 23, 2022
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts
Iain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
International Journal of Medical Informatics
|
August 25, 2019
Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression
Tielman T Van Vleck, Lili Chan, Steven G Coca, et al.
Page
of 18
Search research articles
Search
Showing results (71-80 of 172) with videos related to
Sort By:
Page
of 18
Investigative Ophthalmology & Visual Science
|
February 21, 2025
Does Age Modify the Relation Between Genetic Predisposition to Glaucoma and Various Glaucoma Traits in the UK Biobank?
Jihye Kim, Jae H Kang, Janey L Wiggs, et al.
The Journal of Clinical Investigation
|
June 19, 2012
Exome sequencing identifies GATA1 mutations resulting in Diamond-Blackfan anemia
Vijay G Sankaran, Roxanne Ghazvinian, Ron Do, et al.
NPJ Digital Medicine
|
August 24, 2024
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population
Joy Jiang, Ha My Thi Vy, Alexander Charney, 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.
American Heart Journal Plus : Cardiology Research and Practice
|
February 15, 2023
Short-term prediction of coronary artery disease using serum metabolomic patterns
Ben Omega Petrazzini, Akhil Vaid, Joshua K Park, 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.
Nature Communications
|
October 15, 2024
Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score
Robert Chen, Áine Duffy, Ben O Petrazzini, et al.
Lancet (London, England)
|
December 23, 2022
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts
Iain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
International Journal of Medical Informatics
|
August 25, 2019
Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression
Tielman T Van Vleck, Lili Chan, Steven G Coca, et al.
Page
of 18