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Plos Genetics|November 15, 2018
Synthetic STARR-seq reveals how DNA shape and sequence modulate transcriptional output and noiseStefanie Schöne, Melissa Bothe, Edda Einfeldt, et al.
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Deep-learning-derived glaucoma-related endophenotypes enable novel genome-wide genetic and functional discoveryLiyin Chen, Yan Zhao, Saber Kazeminasab Hashemabad, et al.
BMJ Neurology Open|July 2, 2024
Classifying and quantifying changes in papilloedema using machine learningJoseph Branco, Jui-Kai Wang, Tobias Elze, et al.
Journal of Vitreoretinal Diseases|May 18, 2026
Prevalence and Risk Factors of Cystoid Macular Edema in Patients With Retinitis Pigmentosa in the United States: IRIS Registry AnalysisAhmad Al-Moujahed, Eric Goldberg, Connor Ross, et al.
Medrxiv : the Preprint Server for Health Sciences|July 3, 2026
Clinically aligned rationale generation for glaucoma subtype classification via a knowledge-distilled language modelMousa Moradi, Asahi Fujita, Niloufar Bineshfar, et al.
Ophthalmology|March 13, 2021
Characteristics of p.Gln368Ter Myocilin Variant and Influence of Polygenic Risk on Glaucoma Penetrance in the UK BiobankNazlee Zebardast, Sayuri Sekimitsu, Jiali Wang, et al.
Translational Vision Science & Technology|September 10, 2020
An Artificial Intelligence Approach to Assess Spatial Patterns of Retinal Nerve Fiber Layer Thickness Maps in GlaucomaMengyu Wang, Lucy Q Shen, Louis R Pasquale, et al.
Investigative Ophthalmology & Visual Science|February 23, 2024
Machine Learning-Derived Baseline Visual Field Patterns Predict Future Glaucoma Onset in the Ocular Hypertension Treatment StudyRishabh K Singh, Sophie Smith, John Fingert, et al.
Translational Vision Science & Technology|April 16, 2025
Association Between Cup-to-Disc Ratio and Structural and Functional Damage Parameters in Glaucoma: Insights From Multiparametric ModelingAliah McCalla, Mengyu Wang, Mohammad Eslami, et al.
The Ocular Surface|January 29, 2024
The epidemiology of pediatric dry eye disease in the United States: An IRIS® registry (Intelligent Research in Sight) analysisVivian Paraskevi Douglas, Nathan Hall, Connor Ross, et al.
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