An exploratory study of machine learning-based open-angle glaucoma detection using specific autoantibodies

Authors

Naoko Takada, Tohoku University
Yukitoshi Izumi, Washington University School of Medicine in St. Louis
Charles F Zorumski, Washington University School of Medicine in St. Louis
et al.

Journal

Biomedicines

Publication Date

12-10-2025

Volume

13

Issue

12

First Page

3031

Document Type

Open Access Publication

DOI

10.3390/biomedicines13123031

Rights and Permissions

Takada N, Ishikawa M, Ninomiya T, Izumi Y, Sato K, Kunikata H, Yokoyama Y, Tsuda S, Fukuda E, Yamaguchi K, Ono C, Kirihara T, Shintani C, Hanyuda A, Goshima N, Zorumski CF, Nakazawa T. An Exploratory Study of Machine Learning-Based Open-Angle Glaucoma Detection Using Specific Autoantibodies. Biomedicines. 2025 Dec 10;13(12):3031. doi: 10.3390/biomedicines13123031 Copyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Recommended Citation

Takada, Naoko; Izumi, Yukitoshi; Zorumski, Charles F; and et al., "An exploratory study of machine learning-based open-angle glaucoma detection using specific autoantibodies." Biomedicines. 13, 12. 3031 (2025).
https://digitalcommons.wustl.edu/oa_4/5933

Additional Links

Supplemental material is available for this article at publisher site.