Ben Rush

Science

Research themes, publications, and scientific projects.

Overview

Benjamin Rush, PhD, MPH is an informatics data scientist in the Department of Radiology at the University of Wisconsin–Madison whose research integrates CT-based biomarkers, large-scale imaging cohorts, and artificial intelligence to improve disease risk stratification and population health insight.

His work spans automated body composition analysis from abdominal CT, multi-site harmonization of imaging data, survival modeling, and the implementation of machine learning and large language models within radiology report workflows.

With training in epidemiology and nutritional sciences, he brings a translational lens to imaging informatics—connecting physiology, muscle and adipose tissue biology, and socioeconomic context to clinically actionable imaging biomarkers.

Across projects involving datasets bordering one million scans, he emphasizes reproducible pipelines, center-scale collaboration, and clear, empathetic science communication, operating under the philosophy that “with function comes beauty” in both computational systems and scientific discovery.

See his works on ORCID here.

Research Projects

placedholder text

Publications

  1. Novel DXA body composition approaches: comparison with traditional total body scans

    Journal of Clinical Densitometry (2026-04) · https://doi.org/10.1016/j.jocd.2026.101668

    Diane Krueger; Gretta Borchardt; Lucas Andersen; Benjamin Rush; Jevin Lortie; Adam J. Kuchnia; Jennifer Sanfilippo; Neil Binkley

  2. CT-Based Body Composition Measures and Systemic Disease: A Population-Level Analysis Using Artificial Intelligence Tools in Over 100,000 Patients

    American Journal of Roentgenology (2025) · https://doi.org/10.2214/AJR.24.32216

    Pooler, B. Dustin; Garrett, John W.; Lee, Matthew H.; Rush, Benjamin E.; Kuchnia, Adam J.; Summers, Ronald M.; Pickhardt, Perry J.

  3. Uncorrected and subcutaneous fat‐corrected echo intensities are similarly associated with magnetic resonance imaging per cent fat

    JCSM Communications (2024-01) · https://doi.org/10.1002/rco2.92

    Benjamin Rush; Sujay Garlapati; Jevin Lortie; Katie Osterbauer; Timothy J. Colgan; Daiki Tamada; Toby C. Campbell; Anne Traynor; Ticiana Leal; Kenneth Lee; et al.

  4. The effect of computed tomography parameters on sarcopenia and myosteatosis assessment: a scoping review

    Journal of Cachexia, Sarcopenia and Muscle (2022-12) · https://doi.org/10.1002/jcsm.13068

    Jevin Lortie; Grace Gage; Benjamin Rush; Steven B. Heymsfield; Timothy P. Szczykutowicz; Adam J. Kuchnia

  5. Using Bioimaging Techniques as Muscle Quality Biomarkers for Sarcopenia and Cachexia Diagnosis and Treatment

    Dissertation or Thesis (2022) · https://www.proquest.com/docview/2679739967/abstract/BED28F99191747D7PQ/1?accountid=465&sourcetype=Dissertations%20&%20Theses

    Benjamin Rush

  6. Myosteatosis as a Shared Biomarker for Sarcopenia and Cachexia Using MRI and Ultrasound

    Frontiers in Rehabilitation Sciences (2022-05-30) · https://doi.org/10.3389/fresc.2022.896114

    Benjamin Rush

  7. Combination of DXA and BIS Predicts Jump Power Better Than Traditional Measures of Sarcopenia

    JBMR Plus (2021-08) · https://doi.org/10.1002/jbm4.10527

    Benjamin Rush; Neil Binkley; Diane Krueger; Yosuke Yamada; Adam J Kuchnia

  8. Identification of Muscle Wasting in Lung Cancer using MRI Proton Density Fat Fraction and Ultrasound

    The FASEB Journal (2020-04) · https://doi.org/10.1096/fasebj.2020.34.s1.09640

    Katie Osterbauer; Jevin Lortie; Ben Rush; TJ Colgan; Kenneth Lee; Ticiana Leal; Scott Reeder; Adam Kuchnia

  9. Sexual Health and Language Dominance Among Hispanic/Latino Women and Men: Analysis of a Nationally Representative Sample

    Journal of Immigrant and Minority Health (2016-06) · https://doi.org/10.1007/s10903-016-0446-7

    Lucia Guerra-Reyes; Benjamin Rush; Debby Herbenick; Brian Dodge; Michael Reece; Vanessa Schick; Stephanie A. Sanders; J. Dennis Fortenberry