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The document concludes that using a person's own fat cells (SVF) can significantly increase hair thickness and density, suggesting it could be a promising treatment for hair loss.

A deep learning model accurately predicts male hair loss types using scalp images.

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

Different scalp imaging methods are important for studying hair and scalp health and require more volunteers for better evaluation.

Trichoscopy and pathological examination both have unique benefits and cannot completely replace each other in evaluating hair.

DEEPLY ROOTED® supplement seems to effectively improve hair growth and quality in women with no side effects.

Videodermoscopy is effective for diagnosing different types of non-scarring hair loss.

iL-PRF treatment improves hair growth for androgenetic alopecia.

Hair loss from conditions like LPP and FFA can potentially be reversed with the right treatment.

Platelet Rich Plasma (PRP) treatment effectively reduces hair fall and increases hair growth in patients with Androgenetic Alopecia (AGA), but it may cause pain.

Mutations in the AR gene cause hair thinning and loss.

Videodermoscopy improves diagnosis of hair and scalp disorders and may reduce scalp biopsies.

Standardized data is essential for diagnosing scalp and hair conditions in males.

Infrared and Raman imaging can non-destructively analyze hair structure and help diagnose hair conditions.

Trichoscopy can diagnose female hair loss with high accuracy by looking for specific patterns in hair and scalp appearance.

A treatment combining laser energy and injections improved hair loss and unexpectedly also reduced hair graying.

Dirty dots are a common scalp finding in elderly women and can be washed away with shampoo.

Early diagnosis and aggressive treatment are key for managing rare scalp disorders that cause permanent hair loss.

Trichoscopy is a key method for dermatologists to quickly and effectively diagnose hair and scalp conditions.

Low-cost videomicroscopes might not be reliable for examining scalp disorders compared to standard methods.

Quantifying hair shape is better than using racial categories for understanding hair characteristics.

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

Teletrichoscopy is a promising method for diagnosing hair disorders remotely during the COVID-19 pandemic.

Lack of small, fine hair on the front hairline is a key sign of frontal fibrosing alopecia.

The document concludes that some dermatology books are useful for their photos or specific topics, while others have limitations like poor quality images or content.

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

Transfer learning with three neural network architectures accurately classifies hair diseases.

Low-cost videomicroscopy may not be reliable for diagnosing hair loss compared to standard videodermatoscopy.

Dermatoscopy is useful for identifying different hair and scalp conditions and can reduce the need for biopsies.