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Protein kinase C epsilon may increase skin cancer risk by affecting nearby cells.

Case reports are crucial for identifying new medical conditions and improving knowledge retention.

Older Julia Creek dunnarts often have reproductive and hormonal health issues.

Metabolic processes and key genes like FGF5, FGFR1, and RRAS significantly affect hair follicle growth in Inner Mongolian Cashmere goats.

Finasteride reduces DHT levels and affects gene expression in fish, similar to its effects in humans.

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Frontal fibrosing alopecia in families shows similar signs to individual cases and may have a genetic link.

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Knocking out the FGF5 gene in sheep increased wool production and hair-follicle density.

Hair analysis may help detect breast cancer early by identifying changes in lipid content.

Four new FGF5 gene variants cause long hair in dogs.

Different populations have distinct hair structures related to their ancestry.

FP-1 is a key protein in rat hair growth, active only during the growth phase.

Losing Memo protein shortens lifespan and affects health.

Moose hair mineral levels vary by season and location, indicating environmental impacts.

Portraits show women's hairlines have moved forward over time, suggesting changes in the occurrence of frontal hair loss.

53BP1 focus analysis in hair cells can help estimate radiation doses.

Sunscreen particles were not found in inflamed or fibrotic areas of skin in FFA patients, suggesting no direct link to the disease.

DMSO and microfinger devices show promise for preserving hair grafts for hair loss treatments.

Fermented soy protein may help prevent bone loss by affecting bone cell activity.

High-quality data on skin cancer is crucial for understanding its trends and allocating healthcare resources effectively.

A new method helps find proteins in hair to identify fetal growth issues.

Genetic testing can help diagnose skin conditions but needs more research for full effectiveness.

Skin changes can indicate a risk for breast cancer.

Hair greying is mainly influenced by age, with genetics playing a smaller role.

Researchers created long-lasting, diverse skin organoids from mouse hair follicle stem cells, useful for studying skin.

The data set helps improve predictions of how substances are absorbed through pig skin.

LA-ICP-MS can effectively track mercury exposure over time in hair.

Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.