Dual-Level Pattern Tree for Visual Field Improves Glaucoma Progression and Polygenic Risk Prediction

High-quality clustering of patient VF characteristics may allow physicians to better manage glaucoma patients by aligning with their goal of care and provide researchers with insights into glaucoma subtypes.

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Publication Details

Journal
Translational Vision Science & Technology
Published
2025-12-04
DOI
https://doi.org/10.1167/tvst.14.12.11
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Dual-Level Pattern Tree for Visual Field Improves Glaucoma Progression and Polygenic Risk Prediction

Louis R. Pasquale, Jae H. Kang, Ayellet V. Segrè, Michael V. Boland et al.
Translational Vision Science & Technology
Retinal Imaging and Analysis
article

Dual-Level Pattern Tree for Visual Field Improves Glaucoma Progression and Polygenic Risk Prediction

Louis R. Pasquale, Jae H. Kang, Ayellet V. Segrè, Michael V. Boland, Lucy Q. Shen, Tobias Elze, Nazlee Zebardast, Constance Turman, Lifei Song, Jonathan S. Myers, Sarah R. Wellik, Janey L. Wiggs, Mengyu Wang, Carlos Gustavo De Moraes, David Friedman
article en

Abstract

High-quality clustering of patient VF characteristics may allow physicians to better manage glaucoma patients by aligning with their goal of care and provide researchers with insights into glaucoma subtypes.

Translational Vision Science & TechnologyVol. 14(12)
Brigham and Women's Hospital (US), Massachusetts Eye and Ear Infirmary (US), Harvard University (US), University of Miami (US), Thomas Jefferson University (US), Columbia University Irving Medical Center (US), Smith-Kettlewell Eye Research Institute (US), Wills Eye Hospital (US), Icahn School of Medicine at Mount Sinai (US)
Research to Prevent Blindness, Glaucoma Foundation, Pfizer, National Institutes of Health
Openalex Percentile: Top 47%
Retinal Imaging and Analysis
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