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Showing Results from 109 to 120 of 9549.

A Lifecourse Approach to Brain Health and Stroke Risk

Rost Natalia , Allen Norrina

Presentation/Board Number:

International Stroke Conference 2025

Stroke, Brain Health, and the Brain Economy (an American Academy of Neurology / ASA Joint Symposium)

A long term survivor’s view of cardiac arrest

Cole Gareth

Presentation/Board Number:

Resuscitation Science Symposium

ReSS24 Plenary Session 3: Long-term Survivorship and Outcomes

A Longitudinal 20-year Analysis Indicates Acceleration of Cardiometabolic Comorbidities on Dementia Risk

Lihua Huang , Danish Muhammad , Auyeung Tw , Jenny Lee , Kwok Timothy , Abrigo Jill , Wei Yingying , Lo Cecilia , Fung Erik

Presentation/Board Number: MDP1101

Scientific Sessions 2024

Cardiovascular Disease and Neurocognitive Health: Exploring the Vital Link for Optimal Well-Being

A Look to the Future: How a New CV Board Might Change our Profession

Faxon David

Presentation/Board Number:

Scientific Sessions 2024

The Latest on a New Cardiovascular Board-- What’s Happening Now? (AHA Joint Session with American College of Cardiology)

A Look to The Future: Ways to Solve the Problem of Variants of Uncertain Significance

Glazer Andrew , Parikh Victoria , Macrae Calum

Presentation/Board Number:

Scientific Sessions 2024

How We Use Personalized Genomics in Clinical Cardiology in 2024

A machine learning approach to classifying ischemic stroke etiology using variables available in the Get-with-the-Guidelines Stroke Registry

Lee Ho-joon , Schwamm Lee , Turner Ashby , De Havenon Adam , Kamel Hooman , Brandt Cynthia , Zhao Hongyu , Krumholz Harlan , Sharma Richa

Presentation/Board Number: WMP49

International Stroke Conference 2025

Health Services, Quality Improvement, and Patient-Centered Outcomes Moderated Poster Tour I

A machine learning approach to examining the associations of minority stressors and physical activity among sexual and gender minority adults

Lopez Veneros David , Ensari Ipek , Bhilegaonkar Riya , Sharma Yashika , Caceres Billy

Presentation/Board Number: MDP1158

Scientific Sessions 2024

Taboo Topics in Cardiovascular Health

A Machine Learning Approach to Predict Percutaneous Coronary Intervention in Patients with Critical Illness and Signs of Myocardial Injury

Mueller Joshua , Stepanova Daria , Chidambaram Vignesh , Nakarmi Ukash , Al'aref Subhi

Presentation/Board Number: Mo4129

Scientific Sessions 2024

Critical Care Cardiology Medley Reprise

A Machine Learning Approach to Simplify Risk Stratification of Patients with Atherosclerotic Cardiovascular Disease

Li Hsin Fang , Gluckman Ty , Nute Andrew , Weerasinghe Roshanthi , Wendt Staci , Wilson Eleni , Sidelnikov Eduard , Kathe Niranjan , Swihart Charissa , Jones Laney

Presentation/Board Number: Sa3113

Scientific Sessions 2024

Medley of Cardiovascular Risk Factors, Stratification, and Prediction

A Machine Learning-Based Novel Risk Score Model for Spontaneous Coronary Artery Dissection

Agrawal Ankit , Arockiam Aro Daniela , Bhagat Umesh , Haroun Elio , Majid Muhammad , Wang Tom Kai Ming

Presentation/Board Number: MDP1692

Scientific Sessions 2024

MINOCA and Endothelial Function in ACS

A Machine Learning-Based Novel Risk Score Model for Takotsubo Cardiomyopathy

Agrawal Ankit , Bhagat Umesh , Haroun Elio , Arockiam Aro Daniela , Majid Muhammad , Wang Tom Kai Ming

Presentation/Board Number: MDP218

Scientific Sessions 2024

Good Things to Know about Takotsubo

A Machine Learning Readmission Risk Prediction Model for Cardiac Disease

Bailey Angela , Wang Wei , Shannon Clarence , Huling Jared , Tignanelli Christopher

Presentation/Board Number: Su3069

Scientific Sessions 2024

Seeing Beyond the Beat: Innovations in Cardiovascular Imaging and Risk Evaluation