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The length of the CAG repeat in the androgen receptor gene affects the risk and progression of prostate cancer, BPH, infertility, and undermasculinized genitalia.

Understanding the APCDD1 gene can lead to new hair loss treatments.

The method safely and efficiently delivers genes to the skin but may not work for conditions needing high levels of gene products.

Nano-PROTACs could improve drug targeting and delivery by using nanotechnology.

The report expanded knowledge of MBTPS1-related disorders by identifying new symptoms.

A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.

The HtrA1L364P mutation causes brain dysfunction and blood vessel damage.

Childhood growth hormone deficiency can be accurately diagnosed using gene expression data and random forest analysis.

Genetic factors could lead to personalized treatments for hair loss.

Personalized treatments for hair loss are becoming more effective by using genetic information.

LRIG1 protein affects hair growth by regulating skin receptors, leading to hair loss when overexpressed.

Mitochondrial DNA from nails and hair can be effectively analyzed for forensic use.

MITF+ melanoma patients are more likely to have multiple melanomas and unique skin patterns.

3DEEP reveals early hair follicle stem cell formation and niche establishment before hair bulb development.

The mutation causing Hutchinson-Gilford progeria syndrome leads to severe skin problems and early death in mice.

Monilethrix is a genetic disorder causing brittle hair, diagnosed using tricoscopy.

Melatonin affects when and how certain genes work during the different stages of hair growth in goats.

CE-PTG detects early hair follicle issues in balding areas, helping measure male hair loss.

Hair and nails contain stable RNA, useful for personalized medicine and screening.

Melatonin affects when and how certain genes work during the growth of goat hair follicles.

The project aimed to understand how genetic test results affect patients' actions and feelings in dermatology.

Transgenic sheep embryos with a specific promoter were successfully created, but more research is needed for gene expression in hair follicles.

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

Androgenetic alopecia is common hair loss caused by genetics and hormones.

EGF makes hair follicles grow longer but stops hair production.

A new method accurately captures and renders hair color for virtual reality and hair dye use.