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Scientists use machine learning to estimate hair density via Personal Care Insights

Scientists in Taiwan have used an open-source machine learning tool to automate the hair density estimation process. A study published in the International Journal of Cosmetic Science highlights the accuracy of algorithm-based hair density estimation, which could streamline the process for specialists.

“This approach, which focuses on scalp coverage and erosion features, can streamline and improve the objectivity of clinical hair analysis,” say the study authors.

People can have a range of hair density, but scientific estimates indicate humans have approximately 150 to 233 hairs per square centimeter on their head. Additionally, men tend to have lower hair density overall than women and are also more likely to experience hair loss at some point in their lives.

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