Atrial Fibrillation Clinical Trials in Stanford, California
6 studies are recruiting for atrial fibrillation in Stanford, California right now. Each one is listed on ClinicalTrials.gov, the public registry the research teams themselves file with. TrialBoost is not a doctor, a research site, or a study sponsor: the research team decides who takes part.
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Studies now recruiting
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The Rhythm Evaluation for AntiCoagulaTion With Continuous Monitoring of Atrial Fibrillation
REACT-AF is a multicenter prospective, randomized, open-label, blinded endpoint (PROBE design), controlled trial comparing the current Standard Of Care (SOC) of continuous Direct Oral Anticoagulation (DOAC) use versus time-delimited (1 month) DOAC guided by an AF-sensing Smart Watch (AFSW) in parti…
- Stage
- Phase 3
- Ages
- 22 to 85
- Site
- Stanford University, Stanford, California
- Locations
- 93 in total
- Run by
- Johns Hopkins University
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Anticoagulation for New-Onset Post-Operative Atrial Fibrillation After CABG
The primary objective of this study is to evaluate the effectiveness (prevention of thromboembolic events) and safety (major bleeding) of adding oral anticoagulation (OAC) to background antiplatelet therapy in patients who develop new-onset post-operative atrial fibrillation (POAF) after isolated c…
- Stage
- Phase 3
- Ages
- 18 and older
- Site
- Stanford University, Stanford, California
- Locations
- 106 in total
- Run by
- Icahn School of Medicine at Mount Sinai
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Anticoagulation in ICH Survivors for Stroke Prevention and Recovery
Primary Aim: To determine if apixaban is superior to aspirin for prevention of the composite outcome of any stroke (hemorrhagic or ischemic) or death from any cause in patients with recent ICH and atrial fibrillation (AF). Secondary Aim: To determine if apixaban, compared with aspirin, results in b…
- Stage
- Phase 3
- Ages
- 18 and older
- Site
- Stanford University Medical Center, Stanford, California
- Locations
- 187 in total
- Run by
- Yale University
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The Dynamics of Human Atrial Fibrillation
Atrial fibrillation (AF) is an enormous public health problem in the United States, affecting 2-5 million Americans and causing rapid heart beats, stroke, heart failure or death. In this project, the applicant will develop a novel framework to better understand human AF that builds on agreement bet…
- Stage
- Not phased
- Ages
- 22 to 80
- Site
- Stanford University, Stanford, California
- Run by
- Stanford University
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COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation
This is a cohort study to evaluate algorithms for mapping atrial fibrillation by mapping atrial structure and mapping electrical activity to detect physiologically important areas. A key innovation of the observation study is to assess tracking of physiological activity in AF, in relation to tissue…
- Stage
- Not phased
- Ages
- 21 to 90
- Site
- Stanford University, Stanford, California
- Run by
- Stanford University
-
Machine Learning in Atrial Fibrillation
Atrial fibrillation is a serious public health issue that affects over 5 million Americans (Miyazaka, Circulation 2006) in whom it may cause skipped beats, dizziness, stroke and even death. Therapy for AF is currently suboptimal, in part because AF represents several disease states of which few hav…
- Stage
- Not phased
- Ages
- 22 to 80
- Site
- Stanford University, Stanford, California
- Run by
- Stanford University
How to read this page. Every study here comes from ClinicalTrials.gov, the public registry that research teams are required to file with. We have summarised each one in plain language and shown where it is running. We have not changed what any study says it is doing.
What TrialBoost is. We help people find research that might suit them, and, if they ask us to, we pass their details to the research team running it. We are not a doctor, a research site, or a study sponsor, and we do not decide who takes part in anything. Joining costs nothing and you can change your mind at any point.
Paid placement. Some studies pay us when someone asks to be connected to them. Those are labelled Sponsored wherever they appear, and they only appear when they match what you were actually looking for.