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Meibomian Gland Dysfunction (MGD)

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Understanding Meibomian Gland Dysfunction (MGD)

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Meibomian Gland Dysfunction (MGD) is a chronic condition affecting the meibomian glands, which produce meibum—an oily substance essential for maintaining a healthy tear film. MGD is a leading cause of dry eye syndrome, resulting from blocked gland ducts or abnormalities in meibum quality and quantity. This dysfunction can manifest as:

Hyposecretion: Insufficient meibum production, leading to dry eye symptoms.

Hypersecretion: Excessive meibum, causing inflammation and ocular discomfort.

If left undiagnosed, MGD can cause persistent irritation, blurred vision, and increased risk of ocular surface damage.

Global and Regional Impact

MGD is a widespread yet underdiagnosed condition affecting a significant portion of the population, especially in regions with high exposure to digital screens and environmental pollutants. Studies suggest that MGD prevalence ranges between 35% and 60% globally, with increasing incidence due to lifestyle changes and aging populations.

Challenges in Early Detection

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Detecting and diagnosing MGD presents several challenges:

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These barriers make early and accurate identification of MGD difficult, leading to delayed treatment and worsening ocular health.

Challenges in Early Detection

Detecting and diagnosing MGD presents several challenges

These barriers make early and accurate identification of MGD difficult, leading to delayed treatment and worsening ocular health.

Meibomian img2 desk

Challenges in Early Detection

Meibomian img2 mob

Detecting and diagnosing MGD presents several challenges

These barriers make early and accurate identification of MGD difficult, leading to delayed treatment and worsening ocular health.

FH-POISE and MGD Detection

Our AI platform, FH-POISE, enhances MGD detection and management while delivering comprehensive, data-driven insights to support clinicians.

How FH-POISE MGD Works:

Integrated Image Insights

Integrated Image Insights:

Analyzes upper and lower eyelid images captured under specialized infrared illumination to assess meibomian gland function.

Automated Annotation

Automated Annotation

Identifies and marks the eyelid area (in blue) and meibomian gland area (in green), offering clear visualization of gland structures.

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Key Metrics Evaluation: Measures critical parameters, including:

These insights allow clinicians to detect early signs of MGD, monitor progression, and develop personalized treatment plans

Integrated Approach to Dry Eye Disease

By delivering advanced, automated analysis, FH-POISE empowers healthcare providers to improve diagnostic accuracy, streamline workflows, and enhance patient care for MGD and related eye conditions.