92 citations
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December 2012 in “Current opinion in genetics & development” Turing patterns are now recognized as important in developmental biology.
47 citations
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May 2012 in “Wiley Interdisciplinary Reviews-Developmental Biology” The conclusion is that understanding how feathers and hairs pattern can help in developing hair regeneration treatments.
January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
August 2025 in “International Journal of Research Publication and Reviews” Machine learning can predict stress-related hair loss and suggest prevention tips.
Dermoscopy is useful for diagnosing hair loss patterns in dogs.
1 citations
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November 2017 in “International Journal of Research in Medical Sciences” Dermoscopy helps distinguish between scarring and non-scarring hair loss and accurately diagnoses hair and scalp conditions without needing hair plucking.
Machine learning can improve early and accurate detection of PCOS.
March 1990 in “Journal of Dermatological Science”
50 citations
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December 2011 in “Skin Research and Technology” The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
4 citations
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September 1999 in “Journal of Clinical Forensic Medicine” Caffeine in hair might help identify people, but it's not always reliable.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
6 citations
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December 2018 in “International Journal of Cosmetic Science” CARB is a strong barrier in human hair that prevents dye penetration.
1 citations
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January 2020 in “Veterinariya Zootekhniya i Biotekhnologiya” Long-haired cats have thinner skin where hair is thicker, and all have unique collagen patterns.
June 2018 in “The Medical Journal of Cairo University/The Medical Journal of Cairo University” Dermoscopy can quickly and reliably distinguish Tinea Capitis from Alopecia Areata by identifying specific hair patterns.
August 2024 in “Journal of the National Medical Association” ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
191 citations
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November 1959 in “Annals of the New York Academy of Sciences” Hair and wool have complex microscopic structures with microfibrils and varying cystine content.
January 2013 in “Wool textile journal” 5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
1 citations
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August 2023 in “arXiv (Cornell University)” Deep learning effectively diagnoses scalp disorders, but improvements are needed.
5 citations
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February 2025 in “Journal of Clinical Medicine” A new method improves alopecia diagnosis using non-invasive steps.
December 2025 in “International Journal of Advanced Biochemistry Research” Malvi cattle hair varies in color and pattern across different body regions.
35 citations
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September 2003 in “Archives of dermatology” Tiger tail bands in hair are caused by wavy hair fibers with melanin, unlike straight fibers in normal hair.
5 citations
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September 2017 in “Colloids and surfaces. B, Biointerfaces” Tying a knot can measure hair friction, useful for medical applications.
January 2009 in “Nihon Keshouhin Gijutsushakaishi/Journal of S C C./Nihon Keshouhin Gijutsushakai kaishi” Curved human hair has different structures on each side, which might cause its shape and is similar to wool.
10 citations
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September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
January 2026 in “AppliedMath” Pattern mode isolation improves the reliability and predictability of Turing patterns.
26 citations
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September 2016 in “International Journal of Dermatology” Trichoscopy is good for telling apart tinea capitis and alopecia areata in kids.
March 2024 in “Clinical Case Reports” Early detection of tinea capitis is possible by spotting specific hair patterns like comma or corkscrew hairs.
12 citations
,
June 2013 in “The American Journal of Dermatopathology” A new method using visual aids to diagnose hair diseases was effective after brief training.