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Certain microRNAs are more common in balding areas and might be involved in male pattern baldness.

HGF combined with ADA is highly accurate for diagnosing tuberculous pleural effusion, especially in younger females.

BMP4 gene is crucial for hair follicle development in Liaoning cashmere goats.

Machine learning can predict hair health accurately using personal data.

A new non-invasive method can analyze skin mRNA to understand skin diseases better.

Genetic marker rs12558842 strongly linked to male hair loss.

Human amniotic stem cell exosomes may effectively treat hair loss by promoting hair regrowth.

The gene LRRC15 is more active in balding areas of the scalp compared to non-balding areas.

MT-DADMe-ImmA can selectively kill head and neck cancer cells without harming normal cells.

Carriers of a specific gene mutation have subtle skin changes without visible symptoms.

The curly mutation in SELH/Bc mice affects hair and may help study human genetic disorders.

Cosmetic residues on individual hairs can be identified and differentiated using ATR FT-IR microspectroscopy.

The new X-ray technique allows for precise and non-destructive measurement of elements in hair, creating the first database of its kind for a specific ethnic group.

Longer CAG repeats in gene linked to more severe hair loss in females.

The SHJH hr mice with a mutated Hr gene show signs of faster skin aging due to poor antioxidative protection.

The authors agree more research with proper control groups is needed to understand hair loss.

Hairless mammals evolved quickly in both gene and non-gene areas related to skin and hair.

The study showed that a specific DNA sequence can control gene expression in hair growth areas of mice.

Machine learning can help find new ways to treat alopecia areata.

Hair form in mixed-blood families varies due to hereditary twist-knots and pigment formation.

rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.

Rat hair-follicle stem cells can become heart cells with specific supplements.

Sphynx cats are hairless and Devon Rex cats have curly hair due to specific genetic mutations.

Analyzing hair with this method can help understand and monitor scalp conditions and treatment effects.

Near-infrared probes can safely and effectively image cysteine protease activity for disease diagnosis.

Normal scalp and hair characteristics in Black Africans include white dots and a honeycomb pattern.

The modified hair loss classification is more detailed but less user-friendly.

The ATP assay can measure skin microbiome changes and recovery, with ethanol-treated skin taking longer to recover than tape-stripped skin.

Cross-section trichometry is an accurate method to measure hair loss and growth.

Hair root analysis can effectively detect somatic mosaicism in double cortex syndrome.