Edgar Hernandez

Research Assistant Professor

University of Utah

United States

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About

Dr. Edgar Hernandez is a Research Assistant Professor at the University of Utah, United States. His research focuses on genomic sequencing, artificial intelligence applications in healthcare, and the genetic factors influencing congenital conditions. Recent articles highlight his work on predicting outcomes in congenital cardiac surgery, the identification of newborns for genome sequencing, and the role of genetic variants in various health conditions.

Articles (13)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

Medical University of South Carolina

UNITED STATES

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Edgar Hernandez

Research Interests

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Articles (13)

Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery

MPSE identifies newborns for whole genome sequencing within 48 h of NICU admission

The impact of damaging epilepsy and cardiac genetic variant burden in sudden death in the young.

An artificial intelligence approach for investigating multifactorial pain-related features of endometriosis.

Quantifying the Aerodynamic Power Required for Flight and Testing for Adaptive Wind Drift in Passion-Vine Butterflies <i>Heliconius sara</i> (Lepidoptera: Nymphalidae)

Automated prioritization of sick newborns for whole genome sequencing using clinical natural language processing and machine learning

Genetic and clinical variables act synergistically to impact neurodevelopmental outcomes in children with single ventricle heart disease.

An Explainable Artificial Intelligence Approach for Discovering Social Determinants of Health and Risk Interactions for Stroke in Patients With Atrial Fibrillation.

Causal and Candidate Gene Variants in a Large Cohort of Women with Primary Ovarian Insufficiency

Comprehensive variant calling from whole-genome sequencing identifies a complex inversion that disrupts ZFPM2 in familial congenital diaphragmatic hernia

Multiomic identification of factors associated with progression to cystic kidney disease in mice with nephron Ift88 disruption

Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases

Drosophila estrogen-related receptor directs a transcriptional switch that supports adult glycolysis and lipogenesis

Collaborators (7)

Robert Dudley

Megan Roy-Puckelwartz

Luca Brunelli

Sabrina Malone Jenkins

Lawrence M Nelson

Tanner Monroe

Eric Graham

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