February 1999 in “The anatomical record” This study observed defects in hair cuticle cross-linking in some, but not all, mouse mutants with sparse or structurally unsound hair.
10 citations
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September 2020 in “Computational and Mathematical Methods in Medicine” This paper introduces an algorithm for using smart device-mounted microscopes to analyze scalp images and diagnose hair loss by extracting specific hair loss features.
January 2024 in “Lecture notes in networks and systems” In this study, a system was developed utilizing advanced image processing to analyze hair and scalp conditions, aiding professionals in diagnosing diseases like alopecia and monitoring treatment by extracting and comparing key parameters from microscopic images.
15 citations
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February 1999 in “The anatomical record” This study found that defective cross-linking in hair cuticles is observable in a minority of mouse hair mutants, suggesting different proteins are involved in cross-linking across cell types.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.