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NPJ Drug Discovery|October 6, 2025
Genetic evidence informs the direction of therapeutic modulation in drug developmentRobert Chen, Áine Duffy, Joshua K Park, et al.Nature Communications|September 30, 2025
Development of a genetic priority score to predict drug side effects using human genetic evidenceÁine Duffy, Robert Chen, David Stein, 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.Nature Communications|October 15, 2024
Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority scoreRobert 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 cohortsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.Elife|March 29, 2023
Phenome-wide Mendelian randomization study of plasma triglyceride levels and 2600 disease traitsJoshua K Park, Shantanu Bafna, Iain S Forrest, et al.JACC. Advances|May 13, 2024
Muesli Intake May Protect Against Coronary Artery Disease: Mendelian Randomization on 13 Dietary TraitsJoshua K Park, Ben Omega Petrazzini, Shantanu Bafna, et al.Kidney International|December 30, 2019
Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patientsLili Chan, Kelly Beers, Amy A Yau, et al.Nature Genetics|June 11, 2024
Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery diseaseBen Omega Petrazzini, Iain S Forrest, Ghislain Rocheleau, et al.Clinical Journal of the American Society of Nephrology : CJASN|October 9, 2020
Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney InjuryKumardeep Chaudhary, Akhil Vaid, Áine Duffy, et al.Pageof 3