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Injecting hyaluronidase into the artery is effective for treating skin death and hair loss caused by hyaluronic acid fillers.

An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.

A woman with unexplained hair loss was found to have harmless skin tumors and a scarring hair loss condition, but the tumors didn't cause the hair loss.

Platelet-Rich Plasma may improve skin health and reduce wrinkles, but more research is needed for standard treatment guidelines.

Some drugs used to treat immune conditions may cause different types of hair loss.

A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.

Topical corticosteroids are the main treatment for Erosive Pustular Dermatosis, but recurrence is common after stopping treatment.

FGF12 is important for hair growth and could be targeted for hair loss treatment.

Trichoscopy shows hair diameter variability, vellus hairs, and the peripilar sign are key indicators for diagnosing Androgenetic Alopecia.

Hair loss in Androgenetic Alopecia is caused by genetics, aging, and lifestyle, leading to hair follicle shrinkage and related health risks.

Machine learning and deep learning can effectively diagnose alopecia areata.

Fibroblast growth factors are crucial for hair follicle development and regeneration.

Imbalance in scalp bacteria can affect hair and scalp health, potentially leading to conditions like hair loss, psoriasis, and dandruff.

Trichoscopic measurements help determine the severity of female pattern hair loss.

Extracellular vesicles may effectively treat hair loss with minimal side effects.