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The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.

Dermoscopy helps diagnose different types of hair loss and may reduce the need for biopsies.

Type III collagen increases in recovering guinea pig skin, aiding tissue stability.

3D-ultrasound can non-invasively detect and predict alopecia areata phases and outcomes.

Dermatoscopy helps track scar changes and guide treatment.

The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.

The project highlights the importance of early diagnosis and patient advocacy in managing Systemic Lupus Erythematosus.

LC-OCT is a useful noninvasive tool for diagnosing and monitoring alopecia areata.

Higher ischemia-modified albumin levels are linked to acne severity.

The new AI system improves remote skin condition diagnosis and access to care.

Photoepilation significantly reduces hair, and phototrichograms can objectively measure its effectiveness.

Co5M offers a new way to observe and understand wound healing without labels.

Machine learning can predict hair health accurately using personal data.

Psychological and social responses to scars can indicate mental health risks.

A new tool helps study hair follicle cells to develop better treatments for hair disorders.

A deep learning model accurately predicts male hair loss types using scalp images.

Scientists created MUSIi010-A, a stem cell line from a balding man's scalp, to study hair loss and develop potential treatments.

The new AI software predicts melanoma outcomes more accurately than traditional methods.

The cooling system effectively and safely treats benign pigmented lesions in Asians.

Tissue stiffness is influenced by contractility, which suppresses collagen breakdown.

Non-infectious skin conditions are more common than infectious ones in Kashmir, but community areas see more infections, suggesting a need for better skin care services in primary health care.

NIPT can help detect potential maternal cancer, and GIPXplore can identify immune diseases in pregnancies.

CSC is linked to mineralocorticoid receptor damage, stress, and steroid use, with treatments including drugs and laser therapies to prevent eye damage.

A man developed skin issues from cancer medication, which improved with specific treatments.

The IRF2BP2 gene affects sheep fleece quality by influencing fiber traits.

Trichoscan® is best for measuring hair growth, RCM for analyzing hair follicles, and OCT is useful for both.

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