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The study created a new method to test drugs that affect hormone processing in skin.

Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.

Hair loss from cancer treatment is very distressing for women due to its impact on self-image and social stigma.

A gene mutation in mice causes hair loss, weak bones, and protein buildup, showing how protein processing issues can lead to diseases.

Fine hair on bovine leathers is hard to remove, lowering leather quality and value, but can be managed with specific processing methods.

Athletes may experience reduced effectiveness of aesthetic treatments due to high metabolism and stress, and often have body image disorders.

Near-infrared probes can safely and effectively image cysteine protease activity for disease diagnosis.

The treatment helped a transgender woman stop drinking, improved her mental health, and reduced her gender dysphoria.

Both books are useful for professionals, but "Exacting Beauty" is more comprehensive and practical.

The method effectively images and correlates elements and metabolites in tissue samples at a micron scale.

Prevention efforts should focus on body image, peer victimization, social programs, and sex education to reduce incel violence.

Measuring 24-OHase induction helps identify defects in vitamin D processing and predict treatment response.

Frequent hair coloring and styling can damage hair and cause breakage or loss.

AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.

Alopecia affects self-confidence, body image, and social interactions, causing distress and requiring better support and awareness.

A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.

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

Finasteride capsules with nanoparticles improve drug delivery, solubility, stability, and effectiveness.

The new Follicular Map method could help assess hair treatment effectiveness but has some limitations.

The M5 method is best for isolating cells that help hair growth.

Augmented reality improves vascular surgery by reducing risks and operation times.

Social media and virtual reality increase dissatisfaction with natural appearance, boosting demand for aesthetic surgery.

Hairless protein is key for hair growth, cell differences cause gene expression variation, and the N-end rule pathway senses nitric oxide for protein breakdown.

The Trichoscan system was found to be inaccurate for measuring hair growth, needing better software to be useful.

SIP is a better method for measuring hair growth accurately.

Hair follicles in the back of the rosette fancy mouse have reversed orientations due to a gene mutation.

VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.

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

In vivo confocal scanning laser microscopy is an effective, non-invasive way to study and measure new hair growth after skin injury in mice.

The review found that the way Platelet-Rich Plasma is made varies a lot, which can change the results of medical treatments.