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Brett K Beaulieu-Jones

University of Chicago

United States

Research Interests

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Professors in United States Professors in Epidemiology Epidemiology professors in United States

Articles (17)

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2026

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2025

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2023

Collaborators (15)

Ana Stanescu

University of West Georgia

UNITED STATES

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Marzyeh Ghassemi

Massachusetts Institute of Technology

UNITED STATES

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Andrew Atz

Department Chair

Medical University of South Carolina

UNITED STATES

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Mario Alessiani

Università degli Studi di Pavia Dipartimento di Scienze Clinico-Chirurgiche Diagnostiche e Pediatriche

ITALY

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Julian Martinez-Agosto

Associate Professor (with tenure)

David Geffen School of Medicine at UCLA

UNITED STATES

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Priyam Das

Assistant Professor

Virginia Commonwealth University

UNITED STATES

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Danielle Mowery

Assistant Professor

University of Pennsylvania

UNITED STATES

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Devin Oglesbee

Mayo Clinic

UNITED STATES

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Hongzheng Dai

Assistant Professor

Baylor College of Medicine

UNITED STATES

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Giorgio Quer

Lecturer

University of California, San Diego

UNITED STATES

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Sehi L'Yi

Assistant Professor

The Hong Kong University of Science and Technology

HONG KONG

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Stanley Nelson

Professor

David Geffen School of Medicine at UCLA

UNITED STATES

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Elizabeth Blue

Professor

University of Washington

UNITED STATES

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Jue Hou

Faculty, Assistant Professor

University of Minnesota

UNITED STATES

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Alex Page

University of Rochester Medical Center

UNITED STATES

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Brett K Beaulieu-Jones

Research Interests

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Articles (17)

Predicting Resection Weights of Reduction Mammaplasty: A Multi-Institutional Retrospective Analysis Using Machine Learning

Computational challenges arising in algorithmic fairness and health equity with generative AI

Enriched phenotypes in rare variant carriers suggest pathogenic mechanisms in rare disease patients

The MI-CLAIM-GEN checklist for generative artificial intelligence in health

Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical Outcomes

Heterogeneous Effect of Automated Alerts on Mortality

Heterogenous effect of automated alerts on mortality

Leveraging Large Language Models to Develop an Interpretable Prediction Model for Postpartum Hemorrhage Prior to the Onset of Labor

Synthetic data distillation enables the extraction of clinical information at scale

Disease progression strikingly differs in research and real-world Parkinson's populations

Emerging therapeutic drug monitoring technologies: considerations and opportunities in precision medicine

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

Potential pitfalls in the use of real-world data for studying long COVID

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies

Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction

Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study

Zero-shot Interpretable Phenotyping of Postpartum Hemorrhage Using Large Language Models

Collaborators (15)

Ana Stanescu

Marzyeh Ghassemi

Andrew Atz

Mario Alessiani

Julian Martinez-Agosto

Priyam Das

Danielle Mowery

Devin Oglesbee

Hongzheng Dai

Giorgio Quer

Sehi L'Yi

Stanley Nelson

Elizabeth Blue

Jue Hou

Alex Page

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