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AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.

Human hair provides more UV protection when aligned and at higher angles, but the scalp still gets UV exposure.

Low ERCC3 gene activity is linked to non-pigmented hair growth.

An mFG score of 5 or more indicates above-normal hair growth in Southern Chinese women.

Cholesterol-related compounds can stop hair growth and cause inflammation in a type of scarring hair loss.

Mothers have more hair proteins than their children, with age-related differences in protein patterns, and some proteins in hair could indicate early childhood development.

Some medications might contribute to male infertility, with finasteride showing a high number of reports.

The study introduced a new imaging technology to track skin healing and bone marrow cell activity over time.

Different scaffold patterns improve wound healing and immune response in mouse skin, with aligned patterns being particularly effective.

People with Lichen Planopilaris tend to be more depressed, have lower self-esteem, and a worse quality of life.

The document suggests using standardized methods to track and measure hair loss in alopecia areata, including patient self-assessment and a 50% improvement in specific scores as a treatment goal.

The document concludes that good cosmetic outcomes in hair transplantation depend on the surgeon's artistic skill and careful planning.

Pangolins have lost some skin-related genes, but kept others, leading to their unique scales and skin features.

HSP90 and lamin A/C are crucial for hair growth and could be targets for treating hair loss.

Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.

TrichoScan is a reliable method for measuring hair growth and is useful for assessing hair loss treatments.

The KEBOT system is a highly accurate AI tool for analyzing hair transplants.

Trichoscan is a reliable method for measuring hair growth and monitoring treatment effectiveness in hair loss.

The Scalp Coverage Scoring method reliably measures hair density from images.

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

Scalp coverage scoring accurately measures hair loss and treatment effectiveness.

"TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.

Dermoscopy can help assess the severity of chronic radiation-induced skin damage in head and neck cancer patients.

The document explains how to determine your tax bracket and the effects of income changes on taxes.

Larger ovarian size is linked to higher insulin resistance in women with PCOS.

Blood type affects COVID-19 infection rates differently in Europe and Africa.

The new minoxidil and salicylic acid hydrogel improves alopecia treatment.

Women's hair grows faster and thicker than men's, but hair growth slows for both genders with pattern hair loss.

The model helps understand how wool fiber structure affects its strength and flexibility.

An 18-year-old with hair loss saw hair regrowth after treatments combining microneedling, cupping, medication, and oil application.