Aaron Fields

Associate Professor

University of California, San Francisco

United States

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About

Aaron Fields is an Associate Professor at the University of California, San Francisco. His research primarily focuses on musculoskeletal disorders, spine treatments, and the impact of diabetes on spinal health. Recent publications include studies on biomarkers in spine treatment trials, the effects of the COVID-19 pandemic on musculoskeletal research, and the role of bacterial subtypes in low back pain. He also contributes to the Back Pain Consortium (BACPAC) Research Program, emphasizing data harmonization and biospecimen analysis.

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2020

Collaborators (16)

Micah McCumber

University of North Carolina at Chapel Hill

UNITED STATES

Aaron Fields

Research Interests

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Articles (20)

The design and rationale of the Biomarkers for Evaluating Spine Treatments trial: A sequential multiple assignment randomized trial

Information Extraction from Lumbar Spine MRI Radiology Reports Using GPT4: Accuracy and Benchmarking Against Research-Grade Comprehensive Scoring

Impact of the COVID‐19 pandemic on the productivity and career prospects of musculoskeletal researchers

Low back pain patients with Modic type 1 changes exhibit distinct bacterial and non-bacterial subtypes

The Back Pain Consortium (BACPAC) Research Program Data Harmonization: Rationale for Data Elements and Standards

Magnetic Resonance Imaging of the Lumbar Spine: Recommendations for Acquisition and Image Evaluation from the BACPAC Spine Imaging Working Group

The Back Pain Consortium (BACPAC) Research Program: Structure, Research Priorities, and Methods.

Type 2 diabetes impairs annulus fibrosus fiber deformation and rotation under disc compression in the University of California Davis type 2 diabetes mellitus (UCD-T2DM) rat model.

Non-enzymatic glycation reduces glucose transport in the human cartilage endplate independently of matrix porosity or proteoglycan content.

Protocol for Biospecimen Collection and Analysis Within the BACPAC Research Program.

Bullying, harassment, and discrimination of musculoskeletal researchers and the impact of the COVID-19 pandemic: an international study.

Evidence-based interventions to treat chronic low back pain: treatment selection for a personalized medicine approach.

Spatial distribution of fat infiltration within the paraspinal muscles: implications for chronic low back pain

Paraspinal Muscle in Chronic Low Back Pain: Comparison Between Standard Parameters and Chemical Shift Encoding-Based Water-Fat MRI.

Using hierarchical unsupervised learning to integrate and reduce multi-level and multi-paraspinal muscle MRI data in relation to low back pain.

Development of a standardized histopathology scoring system for human intervertebral disc degeneration: an Orthopaedic Research Society Spine Section Initiative

Non-enzymatic glycation of annulus fibrosus alters tissue-level failure mechanics in tension.

Measurement of vertebral endplate bone marrow lesion (Modic change) composition with water-fat MRI and relationship to patient-reported outcome measures.

Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification.

Evaluation of human cartilage endplate composition using MRI: spatial variation, association with adjacent disc degeneration, and in vivo repeatability.

Collaborators (16)

Micah McCumber

Svenja Illien-Junger

Daniel CLAUW

Carol Greco

Mazda Farshad

Eugene Ozhinsky

Rahul Gawri

Lachlan Smith

Morgan B Giers

Stefan Dudli

David Williams

Anton Bowden

Daniel I. Rhon

Lisbet Haglund

Christine Le Maitre

Noah Bonnheim

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