James Pirruccello

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University of California, San Francisco

United States

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Deep learning to enable the genetic analysis of aorta

Open Date: 2021-08-01

Close Date: 2022-09-30

Articles (26)

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Collaborators (23)

Joel Rämö

University of Helsinki

FINLAND

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Christopher Haggerty

Adjunct Assistant Professor

Columbia University

UNITED STATES

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Elsayed Soliman

Director/Professor

Wake Forest School of Medicine

UNITED STATES

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Jessica Lasky-Su

Associate Professor

UNITED STATES

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Robert Avram

Montreal Heart Institute

CANADA

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Amy Erica Lin

Assistant Clinical Professor of Medicine

UCSF Cardiovascular Research Institute

UNITED STATES

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Benjamin Ebert

Dana-Farber Cancer Institute

UNITED STATES

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Seng Chan You

Yonsei University College of Medicine

SOUTH KOREA

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Victor Nauffal

Harvard University

UNITED STATES

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Pradeep Natarajan

Associate Professor

Harvard Medical School

UNITED STATES

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Nicholas Marston

Harvard University

UNITED STATES

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Karin Hoth

Iowa State University

UNITED STATES

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Puneet Batra

Broad Institute

UNITED STATES

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Francesco Mazzarotto

Imperial College London

UNITED KINGDOM

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Zhi Yu

Broad Institute

UNITED STATES

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Deepak Bhatt

Director of Mount Sinai Heart and Dr. Valentin Fuster Professor of Cardiovascular Medicine

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Daniel Levy

Director/Branch Chief/Medical Officer

National Heart Lung and Blood Institute

UNITED STATES

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Albert Vernon Smith

University of Michigan

UNITED STATES

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Sean David

Clinical Professor and Vice Chair for Research

University of Chicago

UNITED STATES

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Steven Gazal

University of Southern California

UNITED STATES

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pejman mohammadi

University of Washington

UNITED STATES

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Carolina Roselli

Broad Institute

UNITED STATES

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James R. Stone

Associate Professor

Massachusetts General Hospital

UNITED STATES

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James Pirruccello

Research Interests

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Recent Grants

Articles (26)

Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk.

Improved multiancestry fine-mapping identifies cis-regulatory variants underlying molecular traits and disease risk

Moving Beyond the Model

Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease

“Weekend Warrior” Physical Activity and Adipose Tissue Deposition

Unsupervised deep learning of electrocardiograms enables scalable human disease profiling

Clonal hematopoiesis, cardiovascular events and treatment benefit in 63,700 individuals from five TIMI randomized trials

Rare coding variant analysis for human diseases across biobanks and ancestries

The AORTA Gene score for detection and risk stratification of ascending aortic dilation

Artificial Intelligence for Cardiovascular Care—Part 1: Advances

Artificial Intelligence in Cardiovascular Care—Part 2: Applications

Deep learning of left atrial structure and function provides link to atrial fibrillation risk

Cardiovascular Significance and Genetics of Epicardial and Pericardial Adiposity.

Associations of “Weekend Warrior” Physical Activity With Incident Disease and Cardiometabolic Health

The Genetic Determinants of Aortic Distention.

Author Correction: Clonal haematopoiesis and risk of chronic liver disease.

Machine Learning to Understand Genetic and Clinical Factors Associated With the Pulse Waveform Dicrotic Notch

Increased Risk of Thoracic Aortic Aneurysms With JAK2 V617F

Clonal haematopoiesis and risk of chronic liver disease

Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms

Genome-wide association study of thoracic aortic aneurysm and dissection in the Million Veteran Program

Genetics of myocardial interstitial fibrosis in the human heart and association with disease

Using Genomics to Identify Novel Therapeutic Targets for Aortic Disease

Exploring the complex spectrum of dominance and recessiveness in genetic cardiomyopathies

Aortic Cellular Diversity and Quantitative Genome-Wide Association Study Trait Prioritization Through Single-Nuclear RNA Sequencing of the Aneurysmal Human Aorta

Genetic analysis of right heart structure and function in 40,000 people

Collaborators (23)

Joel Rämö

Christopher Haggerty

Elsayed Soliman

Jessica Lasky-Su

Robert Avram

Amy Erica Lin

Benjamin Ebert

Seng Chan You

Victor Nauffal

Pradeep Natarajan

Nicholas Marston

Karin Hoth

Puneet Batra

Francesco Mazzarotto

Zhi Yu

Deepak Bhatt

Daniel Levy

Albert Vernon Smith

Sean David

Steven Gazal

pejman mohammadi

Carolina Roselli

James R. Stone

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