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TRV-2026-0875Certified recordPeer-reviewed

A Risk Prediction Model for Normal-Tension Glaucoma Progression Integrating Genetic Markers and Corneal Biomechanics

Objective Normal-tension glaucoma (NTG) is characterized by progressive optic nerve damage despite intraocular pressure remaining consistently within the normal range. Predicting disease progression in patients with confirmed NTG remains challenging. This study aimed to develop and validate an interpretable machine learning model integrating genetic risk scores and corneal biomechanical parameters to predict progression risk in patients with NTG, identify independent predictors, and quantify the contribution of…

Health · G Space — documented gain · certified 2026-08-25 · v1 · article view · machine-readable

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An interpretable machine learning model integrating genetic risk scores, corneal biomechanical parameters, and tear molecular biomarkers was developed and validated to predict progression risk in patients with confirmed normal-tension glaucoma, providing a quantitative reference for risk stratification and personalised

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Single-center design with 342 patients consecutively enrolled at one tertiary hospital and internal 7:3 split limits generalizability and external validation.

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Truvace Impact Record TRV-2026-0875, v1: “A Risk Prediction Model for Normal-Tension Glaucoma Progression Integrating Genetic Markers and Corneal Biomechanics.” Truvace, 2026-08-25. /record/TRV-2026-0875 (accessed at citation time). sha256 4897e36271c002ef…

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