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A gene variant increases the risk of a type of hair loss by affecting hair protein production.

The document provides ways to tell alopecia areata from other similar hair loss conditions, using visual checks and specific tests.

A new image-based method improves accuracy in measuring hair loss in mice.

A new image-based method improves accuracy in measuring hair loss in mice.

Skin grafts on mice can cause an immune response leading to hair loss, useful for studying human hair loss conditions.

People with moderate hair loss from Alopecia Areata feel more impacted than those with no or almost complete hair loss, and are more likely to seek treatment.

Alopecia areata may be linked to heart issues.

The model accurately predicts hair loss severity in alopecia areata.

Hair loss in mice starts with immune cells damaging hair roots before it becomes visible.

Personality traits and anxiety affect hair loss patients' quality of life.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Patients with alopecia areata and eosinophilia have more nail issues and severe hair loss.

African American adults and non-White children experience more hair loss episodes than White patients with alopecia areata.

Microscarring is found in both alopecia areata and pattern hair loss, suggesting a shared cause.

Machine learning and deep learning can effectively diagnose alopecia areata.

Hair loss significantly affects quality of life and mental health, causing anxiety and depression.

Ritlecitinib effectively improves hair growth in alopecia areata patients, regardless of hair loss pattern.

The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.

A gene variant causes patched hair loss in mice, similar to alopecia areata in humans.

Patients and clinicians generally agree on eyebrow and eyelash hair loss improvements in severe alopecia areata.

The new measure helps understand the personal and emotional impact of hair loss in alopecia areata patients.

Parietal scalp area has lower hair density and smaller hair diameter in women with hair loss.

CD3+ T-cell presence is a reliable marker to tell apart alopecia areata from pattern hair loss.

The document's conclusion cannot be provided because the content is not available.

Alopecia areata is caused by immune system attacks on hair follicles, often triggered by viral infections.

Mice with autoimmune hair loss showed signs of heart problems.

New protein changes may be involved in the immune attack on hair follicles in alopecia areata.

The study identified the top 10 most important areas for future hair loss research.

Ritlecitinib improved hair regrowth and emotional well-being in some alopecia areata patients.

Tofacitinib helped regrow hair in a teen with a unique pattern of alopecia areata.