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Type 2 Innate Signals Stimulate Fibro/Adipogenic Progenitors to Facilitate Muscle Regeneration

Cell, 2013-04, Vol.153 (2), p.376-388

2013

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A Rapid Method for Directed Gene Knockout for Screening in G0 Zebrafish

Developmental cell, 2018-07, Vol.46 (1), p.112-125.e4

2018

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Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery

Circulation Cardiovascular quality and outcomes, 2019-09, Vol.12 (9), p.e005289-e005289

2019

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Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms

Nature communications, 2021-05, Vol.12 (1), p.2726-2726, Article 2726

2021

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A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy

Nature communications, 2021-05, Vol.12 (1), p.2725-2725, Article 2725

2021

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RNA Sequencing of Mouse Sinoatrial Node Reveals an Upstream Regulatory Role for Islet-1 in Cardiac Pacemaker Cells

Circulation research, 2015-02, Vol.116 (5), p.797-803

2015

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Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection

Circulation (New York, N.Y.), 2022-09, Vol.146 (10), p.755-769

2022

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Artificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms

Nature communications, 2024-03, Vol.15 (1), p.2536-2536, Article 2536

2024

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Identification of adult nephron progenitors capable of kidney regeneration in zebrafish

Nature (London), 2011-02, Vol.470 (7332), p.95-100

2011

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Artificial Intelligence and Machine Learning in Cardiology

Circulation (New York, N.Y.), 2024-04, Vol.149 (16), p.1235

Deo, Rahul C

2024

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Phenotypic Spectrum of Heart Failure with Preserved Ejection Fraction

Heart failure clinics, 2014-07, Vol.10 (3), p.407-418

2014

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Single Cell Biology: Exploring Somatic Cell Behaviors, Competition and Selection in Chronic Disease

Frontiers in pharmacology, 2022-05, Vol.13, p.867431-867431

2022

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Machine Learning in Medicine: Will This Time Be Different?

Circulation (New York, N.Y.), 2020-10, Vol.142 (16), p.1521-1523

Deo, Rahul C

2020

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Cardiovascular Risk Assessment Using Artificial Intelligence-Enabled Event Adjudication and Hematologic Predictors

Circulation Cardiovascular quality and outcomes, 2022-06, Vol.15 (6), p.101161CIRCOUTCOMES121008007-e008007

2022

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Effects of the absence of apolipoprotein e on lipoproteins, neurocognitive function, and retinal function

JAMA neurology, 2014-10, Vol.71 (10), p.1228

2014

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Fully Automated Echocardiogram Interpretation in Clinical Practice: Feasibility and Diagnostic Accuracy

Circulation (New York, N.Y.), 2018-10, Vol.138 (16), p.1623-1635

2018

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Recommendations for Reporting Machine Learning Analyses in Clinical Research

Circulation Cardiovascular quality and outcomes, 2020-10, Vol.13 (10), p.e006556-e006556

2020

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Genetic differences between the determinants of lipid profile phenotypes in African and European Americans: the Jackson Heart Study

PLoS genetics, 2009-01, Vol.5 (1), p.e1000342

2009

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Deep Learning-Based Model Detects Atrial Septal Defects from Electrocardiography: A Cross-Sectional Multicenter Hospital-Based Study

EClinicalMedicine, 2023-09, Vol.63, p.102141-102141, Article 102141

2023

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Interpreting metabolomic profiles using unbiased pathway models

PLoS computational biology, 2010-02, Vol.6 (2), p.e1000692-e1000692

2010

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Single-nucleotide polymorphisms in LPA explain most of the ancestry-specific variation in Lp(a) levels in African Americans

PloS one, 2011-01, Vol.6 (1), p.e14581

2011

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Phenomapping for novel classification of heart failure with preserved ejection fraction

Circulation (New York, N.Y.), 2015-01, Vol.131 (3), p.269-279

2015

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Alternative Splicing, Internal Promoter, Nonsense-Mediated Decay, or All Three: Explaining the Distribution of Truncation Variants in Titin

Circulation. Cardiovascular genetics, 2016-10, Vol.9 (5), p.419

Deo, Rahul C

2016

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Type 2 Innate Signals Stimulate Fibro/Adipogenic Progenitors to Facilitate Muscle Regeneration

A Rapid Method for Directed Gene Knockout for Screening in G0 Zebrafish

Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery

Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms

A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy

RNA Sequencing of Mouse Sinoatrial Node Reveals an Upstream Regulatory Role for Islet-1 in Cardiac Pacemaker Cells

Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection

Artificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms

Induced Pluripotent Stem Cell Differentiation Enables Functional Validation of GWAS Variants in Metabolic Disease

Identification of adult nephron progenitors capable of kidney regeneration in zebrafish

Artificial Intelligence and Machine Learning in Cardiology

Phenotypic Spectrum of Heart Failure with Preserved Ejection Fraction

Single Cell Biology: Exploring Somatic Cell Behaviors, Competition and Selection in Chronic Disease

Machine Learning in Medicine: Will This Time Be Different?

Cardiovascular Risk Assessment Using Artificial Intelligence-Enabled Event Adjudication and Hematologic Predictors

Effects of the absence of apolipoprotein e on lipoproteins, neurocognitive function, and retinal function

An internal promoter underlies the difference in disease severity between N- and C-terminal truncation mutations of Titin in zebrafish

Fully Automated Echocardiogram Interpretation in Clinical Practice: Feasibility and Diagnostic Accuracy

Recommendations for Reporting Machine Learning Analyses in Clinical Research

Genetic differences between the determinants of lipid profile phenotypes in African and European Americans: the Jackson Heart Study

Deep Learning-Based Model Detects Atrial Septal Defects from Electrocardiography: A Cross-Sectional Multicenter Hospital-Based Study

Interpreting metabolomic profiles using unbiased pathway models

Single-nucleotide polymorphisms in LPA explain most of the ancestry-specific variation in Lp(a) levels in African Americans

Phenomapping for novel classification of heart failure with preserved ejection fraction

Alternative Splicing, Internal Promoter, Nonsense-Mediated Decay, or All Three: Explaining the Distribution of Truncation Variants in Titin

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