Introducing the Atropos Evidence™ Agent–seamlessly integrating RWE into the clinical workflow.

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Estrogen exposure from modern contraceptives and vascular risk in women with migraine: A nationwide electronic medical record database study

Estrogen exposure from modern contraceptives and vascular risk in women with migraine: A nationwide electronic medical record database study

by Julia Rudo | Dec 19, 2025 | Publications

An abstract titled, “Estrogen exposure from modern contraceptives and vascular risk in women with migraine: A nationwide electronic medical record database study,” was published in Cephalalgia by authors Keiko Ihara, C William Pike, Gavin Hui, Saurabh Gombar, Michael...
Disparities in Atrial Fibrillation Clinical Outcomes: Race, Ethnicity, and Sex Differences in Risk of Incident Heart Failure, Stroke, and Mortality

Disparities in Atrial Fibrillation Clinical Outcomes: Race, Ethnicity, and Sex Differences in Risk of Incident Heart Failure, Stroke, and Mortality

by Julia Rudo | Dec 18, 2025 | Publications

An abstract titled, “Disparities in Atrial Fibrillation Clinical Outcomes: Race, Ethnicity, and Sex Differences in Risk of Incident Heart Failure, Stroke, and Mortality,” was published in the American Heart Association’s Circulation by authors Xichong Liu, MD, Elena...
Stanford Health Care deploys Atropos Health’s AI agent to access personalized RWE

Stanford Health Care deploys Atropos Health’s AI agent to access personalized RWE

by Julia Rudo | Dec 15, 2025 | News and Media

“Stanford Health Care in California has begun using an AI agent to embed personalized real-world evidence (RWE) in its EHRs to provide clinical decision support at the point of care. Microsoft and Atropos Health, which offers a real-world data platform, have launched...
Early identification of patients likely to benefit from paroxysmal nocturnal hemoglobinuria workup using machine learning on large-scale real-world data

Early identification of patients likely to benefit from paroxysmal nocturnal hemoglobinuria workup using machine learning on large-scale real-world data

by Julia Rudo | Dec 11, 2025 | Publications

A poster titled, “Early identification of patients likely to benefit from paroxysmal nocturnal hemoglobinuria workup using machine learning on large-scale real-world data,” was presented at the American Society of Hematology (ASH) 67th Annual Meeting by authors...
Prior GLP-1 agonist use is not associated with adverse inpatient critical care outcomes: A propensity-matched analysis

Prior GLP-1 agonist use is not associated with adverse inpatient critical care outcomes: A propensity-matched analysis

by Julia Rudo | Dec 8, 2025 | Publications

An article titled, “Prior GLP-1 agonist use is not associated with adverse inpatient critical care outcomes: A propensity-matched analysis,” was published in Society of Hospital Medicine’s Journal of Hospital Medicine by authors Albert K. Park MD, Jason Hom MD, Javier...
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