7 citations
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November 2011 in “Skin Research and Technology” The study found a specific pattern of uneven melanin distribution on balding scalps that could help understand skin diseases caused by light exposure.
November 2025 in “Agriculture” Machine learning can effectively identify genes to improve wool quality in sheep.
January 2025 in “Dermatologic Therapy” Alopecia areata affects about 1.93% of people worldwide, with more women affected than men.
Vertex accentuation is a common pattern in female hair loss.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
2 citations
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August 2006 in “Journal of Dermatological Science” Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.
46 citations
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July 2008 in “Dermatologic Therapy” A scale was made to measure hair loss severity in African American women.
5 citations
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October 2023 in “International Journal on Recent and Innovation Trends in Computing and Communication” The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
18 citations
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April 2004 in “The journal of investigative dermatology/Journal of investigative dermatology” Skin patterns are formed by simple reaction-diffusion mechanisms.
19 citations
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February 2013 in “The American Journal of Dermatopathology” Nonscarring alopecia has higher hair density than scarring alopecia, and hair density can help diagnose the type of alopecia.
May 2023 in “Frontiers in chemistry” Zolpidem shows up in hair from the top back of the head after one dose and fades over time, suggesting it gets into hair through blood and sweat.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The package offers tools for exploring potential miRNA changes in female hair loss.
September 2024 in “Archives of Dermatological Research” 12 citations
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December 2013 in “Immunological Investigations” The SNP rs6457452 is linked to a higher risk of alopecia areata in Koreans.
September 2024 in “Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi” XGBoost can effectively diagnose PCOS with 87% accuracy.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
5 citations
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October 2008 in “Australasian Journal of Dermatology” Doctors need to understand statistics to properly evaluate clinical trials for patient care.
March 2023 in “Journal of Cosmetic Dermatology” A genetic variant linked to hair thinning in Japanese women was found.
January 2018 in “Figshare” Horizontal sections of scalp biopsies are useful for telling the difference between Androgenetic Alopecia and Alopecia Areata.
September 1997 in “BioMed Research International” Female pattern hair loss often starts in teenage years, reduces hair density, and can impact quality of life.
August 2024 in “Research Journal of Health Sciences” Normal scalp and hair characteristics in Black Africans include white dots and a honeycomb pattern.
41 citations
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May 2001 in “PubMed” Different thicknesses of hair strands can indicate the severity of hair thinning.
October 2022 in “Journal for Research in Applied Sciences and Biotechnology” Certain changes in the SHBG gene may increase the risk of PCOS in Iraqi women.
4 citations
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August 2023 in “Nature Communications” Mouse zigzag hair bends form due to a 3-day cycle of changes in hair progenitors and their environment.
15 citations
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May 2009 in “Chemical Physics Letters” A new method accurately measures molecular movement without complex modeling.
November 2023 in “Benha Journal of Applied Sciences” Males with male pattern baldness have higher blood galectin-3 levels.
3 citations
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January 2025 in “Animal Genetics” Variants on chromosome 10 affect hair thickness in Dazu black goats.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
January 2022 in “Klinicheskaya dermatologiya i venerologiya” Trichoscopy can diagnose hair loss by looking for common signs like uneven hair thickness, "yellow dots," and more thin hairs, which are found in both men and women.
9 citations
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November 2007 in “Veterinary dermatology” Boxer and Labrador dogs' hair growth is affected by the tropical climate, but Schnauzers' is not.