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Men with androgenetic alopecia may have higher triglycerides, suggesting a link to lipid metabolism.

Epigenetic differences affect hair loss in identical Japanese male twins.

Dynamic, light touch is sensed through a common mechanism involving Piezo2 channels in sensory axons.

The new automatic tool accurately measures hair thickness and is reliable.

ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.

The cosmetic industry should adapt to the varied beauty standards of ethnic groups and offer specialized treatments.

Deep learning can effectively detect hair and scalp diseases early.

Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.

Hair loss can cause low self-esteem, anxiety, and depression in men.

Hair loss affects self-esteem and quality of life; treatments can help.

People undergoing chemotherapy need better support and information to cope with hair loss.

Computer-aided imaging system helps measure balding area in female pattern hair loss.

Human hair shows promise for non-invasive medical testing, but more research is needed to standardize its use.

Hormone therapy for breast cancer often leads to sexual issues like vaginal dryness and decreased libido.

Topical minoxidil helps treat hair loss in teens, but more research needed for safe options.

The guidelines ensure accurate genetic testing and reporting for 21-hydroxylase deficiency.

Temporal hair loss relates to overall scalp hair loss in women.

Skin reactions are a common reason for emergency visits due to drug allergies, with some severe cases needing intensive care.

The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.

The model accurately detects early-stage hair loss using images.

The new method predicts post-hair transplant images more accurately than other methods.

The new system helps detect and track early female hair loss better.

Treatment type and patch size affect hair regrowth patterns in alopecia areata.

A rare pigmented skin tumor called melanotrichoblastoma was diagnosed in a 51-year-old woman.

Machine learning can effectively predict type 2 diabetes risk.

Many women who have used performance-enhancing drugs in Finland show high rates of mental health and substance use issues, and most have normal red blood cell counts.

Platelet-derived bio-products help in wound healing and tissue regeneration but lack standardized methods, and their use in medicine is growing.

PCOS affects 11% of women, highlighting the need for standardized diagnosis.

Hair analysis can provide insights into a person's medical history and location over time.

Ophiasis mainly affects females, lasts longer, and has lower regrowth rates, with a new classification system helping predict treatment response.