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This study suggests that curl pattern classification could help improve patient communication and risk stratification in hair loss disorders, but its clinical utility in dermatology needs further validation.

This study proposes a new, objective method to classify human hair into eight categories based on specific shape measurements, rather than traditional ethnicity-based classifications.

This study aimed to identify new quantitative geometric and mechanical parameters for curly and kinky hair using various microscopy and mechanical analysis methods, revealing correlations between hair fiber geometry and mechanical performance to enhance personal care product development and promote cultural inclusion.

In this study, researchers found that the lipid composition in hair significantly affects water diffusion and may explain differences in dyeing and cosmetic treatment responses between Asian and European hair, with CP2 fibers having more lipids than CP3 fibers.

This review discusses the limitations of current hair classification systems and highlights the need for standardized reporting of key hair characteristics to improve study comparisons; it reports no new results.