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Search results (19)

« Back to Publications

Characterizing the Field of Mendelian Randomization Studies for Cardiovascular Disease.

Petrazzini BO., (2026), Cardiology, 151, 54 - 56

Machine learning-based penetrance of genetic variants.

Forrest IS. et al, (2025), Science, 389

Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score.

Chen R. et al, (2024), Nat Commun, 15

Comparison of blood-based liver fibrosis scores in the Mount Sinai Health System, MASLD Registry, and NHANES 2017-2020 study.

Chen R. et al, (2024), Hepatol Commun, 8

Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease.

Petrazzini BO. et al, (2024), Nat Genet, 56, 1412 - 1419

Muesli Intake May Protect Against Coronary Artery Disease: Mendelian Randomization on 13 Dietary Traits.

Park JK. et al, (2024), JACC Adv, 3

Prediction of Venous Thromboembolism in Diverse Populations Using Machine Learning and Structured Electronic Health Records.

Chen R. et al, (2024), Arterioscler Thromb Vasc Biol, 44, 491 - 504

Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications.

Duffy Á. et al, (2024), Nat Genet, 56, 51 - 59

A machine learning model identifies patients in need of autoimmune disease testing using electronic health records.

Forrest IS. et al, (2023), Nat Commun, 14

Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the TTR V122I Variant.

Park JK. et al, (2023), J Am Heart Assoc, 12

Phenome-wide Mendelian randomization study of plasma triglyceride levels and 2600 disease traits.

Park JK. et al, (2023), Elife, 12

Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts.

Forrest IS. et al, (2023), Lancet, 401, 215 - 225

Short-term prediction of coronary artery disease using serum metabolomic patterns.

Petrazzini BO. et al, (2022), Am Heart J Plus, 24

Coronary Risk Estimation Based on Clinical Data in Electronic Health Records.

Petrazzini BO. et al, (2022), J Am Coll Cardiol, 79, 1155 - 1166

Clinical prediction of pathogenic variants in non-coding regions of the human genome

Petrazzini BO. et al, (2022)

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