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Human hair varies widely and should be classified by curl type rather than race.

A new system for classifying curly hair types using precise measurements can improve hair care products and cultural inclusion.

Curly hair is mechanically different from straight hair and may need new testing methods.

Afro-textured hair needs personalized care due to its unique genetic traits.

Hair straightening methods have advanced to improve effectiveness and reduce damage, but still rely on heat and chemicals.

Chemical hair straightening improves smoothness and shine but may cause side effects, suggesting a need for safer methods.

New methods to classify curly hair types were developed based on shape and strength.

Mexican women's hair is between Asian and Caucasian hair in thickness and shape, with varied strength and some damage.

Hair straightening changes hair structure and can cause damage if done wrong, but improvements in the methods are expected to continue.

Curly hair breaks more easily, especially with chemical treatments, but simpler grooming reduces breakage.

Different sizes of keratin peptides can strengthen hair, with smaller ones possibly increasing volume and larger ones repairing damage.

The model predicts hair breakage based on key hair properties and helps product developers.

Classifying curl patterns might help doctors assess and treat hair loss better.

Experts suggest various surgical methods for hair restoration, including scalp reduction, transplantation using minigrafts, and establishing a permanent frontal hairline with follicular units. The drug finasteride may also be used alongside these procedures.

Dr. Norwood's analysis highlights the need for careful patient selection and strategic hair transplant design to create a natural-looking hair density.

A new method accurately classifies hair types, showing global hair diversity.

The new SFS Scale predicts hair transplant difficulty using hair and skin types, with thick skin and coily hair being hardest to work with.

Lipids are important for healthy hair, but their exact role is not fully understood and needs more research.

CCCA is a hair loss type affecting African women, possibly caused by grooming and chemicals, with various treatments and needing more research.

An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.

Plant extracts like Avicennia marina, Boehmeria nipononivea, and Camellia sinensis could potentially treat hair loss with fewer side effects than synthetic drugs.

Using minoxidil on the scalp can help grow hair for people with hereditary baldness.

The document concludes that unruly hair can be congenital or acquired, often lacks specific treatments, and can be managed with oils and short hairstyles.

Hair restoration surgery has evolved over time, with a focus on natural-looking results and managing patient expectations, while also considering potential complications and the lifelong progression of male pattern baldness.

Women with low SHBG levels and a high 3a-diol G to SHBG ratio are likely to experience female pattern baldness, possibly due to a slight excess of androgens affecting sensitive hair bulbs.

The unique coat of lykoi cats is likely caused by new variants in the Hairless gene.

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

Hair properties are interconnected; a comprehensive, cross-disciplinary approach is essential for understanding hair behavior.

The document concludes that proper diagnosis and a combination of medical, hair-care, and surgical treatments are important for managing alopecia in black women.

Future hair cosmetics will be safer and more effective.