Naomi Riches

Research Assistant Professor

University of Utah School of Medicine

United States

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Naomi Riches is a Research Assistant Professor at The University of Utah School of Medicine, USA. Her research focuses on air pollution and its impacts on health, particularly in relation to stillbirth and prenatal screening. Additionally, she explores environmental exposures in diabetes research through machine learning and data mining approaches.

Articles (14)

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2025

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2022

Collaborators (3)

Ramkiran Gouripeddi

University of Utah

UNITED STATES

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Neeta Vora

Professor

University of North Carolina at Chapel Hill

UNITED STATES

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Nicole Weiskopf

Associate Professor

Oregon Health & Science University

UNITED STATES

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Naomi Riches

Research Interests

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Articles (14)

Air pollution mixtures and stillbirth: k-means cluster analysis

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Measuring the efficacy of community consultation in a pediatric exception from informed consent trial

Factors Contributing to Uptake of Stillbirth Evaluations: A Qualitative Analysis

Understanding the experiences and perspectives of prenatal screening among a diverse cohort.

Understanding the experiences and perspectives of prenatal screening among a diverse cohort

Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review

Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review

Creating a postmortem examination decision aid: Suggestions from bereaved parents of a stillborn

Evaluating visual imagery for participant understanding of research concepts in genomics research

Evaluating visual imagery for participant understanding of research concepts in genomics research.

Toward informatics-enabled preparedness for natural hazards to minimize health impacts of climate change.

Toward informatics-enabled preparedness for natural hazards to minimize health impacts of climate change

Correction: Clinical, social, and policy factors in COVID-19 cases and deaths: methodological considerations for feature selection and modeling in county-level analyses.

Collaborators (3)

Ramkiran Gouripeddi

Neeta Vora

Nicole Weiskopf

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