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Computers in Biology and Medicine|February 18, 2025
Comparative ranking of marginal confounding impact of natural language processing-derived versus structured features in pharmacoepidemiologyJoseph M Plasek, Richard D Wyss, Janick G Weberpals, et al.
Annals of Internal Medicine|September 27, 2021
Sodium-Glucose Cotransporter-2 Inhibitors Versus Glucagon-like Peptide-1 Receptor Agonists and the Risk for Cardiovascular Outcomes in Routine Care Patients With Diabetes Across Categories of Cardiovascular DiseaseElisabetta Patorno, Phyo T Htoo, Robert J Glynn, et al.
Diabetes, Obesity & Metabolism|November 3, 2021
Effectiveness and safety of empagliflozin in routine care patients: Results from the EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) studyElisabetta Patorno, Ajinkya Pawar, Deborah J Wexler, et al.
Circulation|April 9, 2019
Empagliflozin and the Risk of Heart Failure Hospitalization in Routine Clinical CareElisabetta Patorno, Ajinkya Pawar, Jessica M Franklin, et al.
Clinical Epidemiology|April 22, 2025
Extracting Cognitive Impairment Assessment Information From Unstructured Notes in Electronic Health Records Using Natural Language Processing Tools: Validation with Clinical Assessment DataKuan-Yuan Wang, Mufaddal Mahesri, John Novoa-Laurentiev, et al.
The Journal of Thoracic and Cardiovascular Surgery|February 19, 2026
Association of GLP-1 Inhibitors with Cardiovascular Outcomes in Patients Undergoing Coronary Artery Bypass SurgeryIrsa Hasan, Lily G Bessette, Xander Jacquemyn, et al.
BMJ (Clinical Research Ed.)|February 21, 2020
Maternal and fetal outcomes following exposure to duloxetine in pregnancy: cohort studyKrista F Huybrechts, Brian T Bateman, Ajinkya Pawar, et al.
Circulation|December 17, 2020
Emulating Randomized Clinical Trials With Nonrandomized Real-World Evidence Studies: First Results From the RCT DUPLICATE InitiativeJessica M Franklin, Elisabetta Patorno, Rishi J Desai, et al.
NPJ Digital Medicine|February 20, 2024
The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trialJulie C Lauffenburger, Elad Yom-Tov, Punam A Keller, et al.
BMJ Open|December 4, 2021
REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trialJulie C Lauffenburger, Elad Yom-Tov, Punam A Keller, et al.
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