AIMC Topic: Aqueous Humor
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Deep learning-assisted 10-μL single droplet-based viscometry for human aqueous humor.
Biosensors & bioelectronics
May 2, 2025
Probing the viscosity of human aqueous humor is crucial for optimizing micro-tube shunts in glaucoma treatment. However, conventional viscometers are not suitable for aqueous humor due to the limited sample volume-only tens of microliters-that can be...
Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo.
Cell
Oct 19, 2023
Single-cell analysis in living humans is essential for understanding disease mechanisms, but it is impractical in non-regenerative organs, such as the eye and brain, because tissue biopsies would cause serious damage. We resolve this problem by integ...
Classification Criteria for Toxoplasmic Retinitis.
American journal of ophthalmology
May 11, 2021
PURPOSE: To determine classification criteria for toxoplasmic retinitis.
Classification Criteria for Varicella Zoster Virus Anterior Uveitis.
American journal of ophthalmology
Apr 15, 2021
PURPOSE: To determine classification criteria for varicella zoster virus (VZV) anterior uveitis.
Classification Criteria for Cytomegalovirus Anterior Uveitis.
American journal of ophthalmology
Apr 9, 2021
PURPOSE: To determine classification criteria for cytomegalovirus (CMV) anterior uveitis.
Machine Learning Approach for Intraocular Disease Prediction Based on Aqueous Humor Immune Mediator Profiles.
Ophthalmology
Jan 21, 2021
PURPOSE: Various immune mediators have crucial roles in the pathogenesis of intraocular diseases. Machine learning can be used to automatically select and weigh various predictors to develop models maximizing predictive power. However, these techniqu...
Eye Diseases
Cross-Sectional Studies
Aqueous Humor
Immunoassay
Endophthalmitis
Diagnosis, Computer-Assisted
Reproducibility of Results
Male
Glaucoma, Open-Angle
Flow Cytometry
Intraocular Lymphoma
Aged
Humans
ROC Curve
Middle Aged
Retinal Detachment
Inflammation Mediators
Retinal Necrosis Syndrome, Acute
Aged, 80 and over
Machine Learning
Interleukins
Adult
Female
Area Under Curve
Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes.
Scientific reports
Jan 14, 2021
The purpose of this study is to examine if aqueous autotaxin (ATX) and TGF-β levels could be used for differentiating glaucoma subtypes. This prospective observational study was performed using aqueous humor samples obtained from 281 consecutive pati...
Multi-Omics Integration With Machine Learning Identified Early Diabetic Retinopathy, Diabetic Macula Edema and Anti-VEGF Treatment Response.
Translational vision science & technology
Dec 2, 2024
PURPOSE: Identify optimal metabolic features and pathways across diabetic retinopathy (DR) stages, develop risk models to differentiate diabetic macular edema (DME), and predict anti-vascular endothelial growth factor (anti-VEGF) therapy response.
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