Christopher Bartlett

Associate Professor

Ohio State University

United States

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Christopher Bartlett is an Associate Professor at The Ohio State University, USA. His research primarily focuses on the intersection of genetics and health outcomes, particularly in pediatric populations, and the application of advanced data analysis techniques, including deep learning and data harmonization. Recent publications include work on genetic risk factors in autism spectrum disorder and language impairments, as well as innovative approaches to improve medical data analysis and rehabilitation strategies.

Articles (12)

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2025

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2025

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2023

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2023

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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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2021

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2020

Collaborators (8)

Donna Santillan

The University of Iowa

UNITED STATES

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Sara Quinney

Professor

Indiana University School of Medicine

UNITED STATES

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Steven Buyske

Rutgers University

UNITED STATES

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Jeffrey Gruen

Yale University

UNITED STATES

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Emma Tillman

Research Associate Professor

Indiana University School of Medicine

UNITED STATES

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David J. Francis

University of Houston

UNITED STATES

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Jinchuan Xing

UNITED STATES

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Mark Santillan

UNITED STATES

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Christopher Bartlett

Research Interests

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Articles (12)

A Latent Trait-based Measure as a Data Harmonization and Missing Data Solution Applied to the Environmental Influences on Child Health Outcomes Cohort

Using deep learning for estimation of time-since-injury in pediatric accidental fractures

The MPRINT Hub Data, Model, Knowledge and Research Coordination Center: Bridging the gap in maternal–pediatric therapeutics research through data integration and pharmacometrics

Invasive or More Direct Measurements Can Provide an Objective Early-Stopping Ceiling for Training Deep Neural Networks on Non-invasive or Less-Direct Biomedical Data.

The Rosetta Phenotype Harmonization Method Facilitates Finding a Relationship Quantitative Trait Locus for a Complex Cognitive Trait

Structural Variations Contribute to the Genetic Etiology of Autism Spectrum Disorder and Language Impairments

Common genetic risk factors in ASD and ADHD co-occurring families

Early considerations of genetics in aphasia rehabilitation: a narrative review

Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease.

Improvement of automated analysis of coronary Doppler echocardiograms

Are the Organisational Management Characteristics of Healthcare Organisations Distinguishable from Other Professional Organisations?

MiR-29b is associated with perinatal inflammation in extremely preterm infants.

Collaborators (8)

Donna Santillan

Sara Quinney

Steven Buyske

Jeffrey Gruen

Emma Tillman

David J. Francis

Jinchuan Xing

Mark Santillan

Make your next move.