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OCIAD2 and DCN genes affect hair growth in goats by having opposite effects on a growth signaling pathway and inhibiting each other.

The number of CAG repeats in the androgen receptor gene doesn't significantly affect female pattern hair loss in the Han Chinese population.

lncRNA2919 slows down rabbit hair growth by stopping cell growth and causing cell death.

Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.

The ND1 gene of the Asian black bear Sichuan subspecies is similar to other bear species.

Genetic marker rs12558842 strongly linked to male hair loss.

Classifying curl patterns might help doctors assess and treat hair loss better.

Certain long non-coding RNAs are important for controlling hair growth cycles in sheep.

Targeting the narrowest part of the anterior chamber angle may help prevent pupil block in glaucoma.

The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.

QR678 and QR678 Neo treatments, combined with corticosteroid injections, work better for alopecia areata than corticosteroid injections alone.

The device accurately estimates natural hair color at the roots in real time.

A new genetic mutation in the ODC1 gene causes developmental delay and other symptoms in a young girl.

rwSALT provides precise hair regrowth measurement from scalp photos.

Certain SPINK5 gene mutations are common in Israeli families with Comèl-Netherton syndrome.

The new triangular flag-shaped design for incisions in hair transplant surgery provides better hair alignment and cosmetic appearance without extra scarring, especially for patients with specific hair directions.

A specific DNA sequence caused hair loss in male mice by activating immune cells and increasing a certain immune signal.

The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.

This hair transplant method improves cosmetic results for hair loss.

The authors suggest a method for hair transplantation in fibrosing alopecia pattern distribution to improve treatment outcomes and cover bald areas.

The Waris Hairline Dot Technique is highly effective, natural-looking, and has minimal recovery issues.

Machine learning can accurately predict hair loss early, improving treatment options.

A new tool makes hair transplant surgeries faster by creating multiple cuts in one go.

Natural hairline asymmetry should be embraced for better-looking hair transplants.

Machine learning can predict stress-related hair loss and suggest prevention tips.

lncRNAs may regulate hair follicle development in Hu sheep.

A machine learning model can predict alopecia areata early using specific gene markers.

Machine learning can predict how well patients with alopecia areata will respond to certain treatments.