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The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.

Artificial hair fibers improve drug delivery accuracy through skin models.

A new device mimics hair follicle functions and detects tiny forces with high sensitivity.

M1 homeopathic complex may help slow melanoma cell growth.

New imaging tools help doctors better examine hair and scalp health without surgery.

A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.

Functionalized silicones improve hair appearance, combing, and manageability.

New hair and scalp disease diagnosis methods are important for correct treatment.

Mechanical methods can make abdominal surgeries easier to perform.

The humanized AA mouse model is better for testing new alopecia areata treatments.

Actin and alpha-smooth muscle actin help skin heal in mouse fetuses.

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

Using a wall mirror to design the hairline in hair restoration surgery is simple, cheap, and effective for natural-looking results.

Thicker hair grows faster; hair loss patients have slower growth.

The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.

Using complex medical terms can make people want to seek medical help faster.

The malignant pilomatricoma showed strong epithelial keratin expression, suggesting it may not calcify.

Melanoma survival rates vary by state and are better where incomes are higher, more people have health insurance and education, and there are more dermatologists.

MRI reveals thinner scalps and smaller hair follicles in people with androgenetic alopecia.

Progeroid mouse models show signs of early aging similar to humans, helping us understand aging better.

QMSI effectively maps and quantifies drug distribution in skin tissues.

Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.

Type 3 acromegaly patients have more health issues and higher death risk.

Normal BMI is linked to higher rates of androgenetic alopecia.

Researchers created a cell model to study hair growth and test hair-growth drugs.

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

AFM helps study hair surfaces for dermatology, cosmetics, and forensics.

KSR1 is crucial for certain skin tumor formation and could be a cancer therapy target.