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

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Title: Dual-Level Pattern Tree for Visual Field Improves Glaucoma Progression and Polygenic Risk Prediction.
Authors: Song L; Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA., Shen LQ; Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA., Pasquale LR; Department of Ophthalmology, Eye and Vision Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Boland MV; Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA., Wellik SR; Bascom Palmer Eye Institute, University of Miami School of Medicine, Miami, FL, USA., De Moraes CG; Edward S. Harkness Eye Institute, Columbia University Medical Center, New York, NY, USA., Segre A; Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA., Wiggs JL; Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA., Turman C; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Myers JS; Wills Eye Hospital, Thomas Jefferson University, Philadelphia, PA, USA., Elze T; Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA., Zebardast N; Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA., Friedman DS; Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA., Kang JH; Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA., Wang M; Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
Source: Translational vision science & technology [Transl Vis Sci Technol] 2025 Dec 01; Vol. 14 (12), pp. 11.
Publication Type: Journal Article
Journal Info: Publisher: Association for Research in Vision and Ophthalmology Country of Publication: United States NLM ID: 101595919 Publication Model: Print Cited Medium: Internet ISSN: 2164-2591 (Electronic) Linking ISSN: 21642591 NLM ISO Abbreviation: Transl Vis Sci Technol Subsets: MEDLINE
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              Text: 2025 Dec 01
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