4 citations
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July 2020 in “Journal of proteomics” Hair protein composition is similar across different races and shapes.
12 citations
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July 2017 in “Scientific reports” Researchers developed a way to study human body clocks using hair tissue, which works similarly in both healthy and dementia patients.
8 citations
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December 2019 in “Molecular genetics and metabolism reports” Some children in Malaysia with symptoms have either profound or partial biotinidase deficiency, and early testing and treatment are important.
1 citations
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February 2025 in “Journal of the Neurological Sciences” Beta-trace protein may help diagnose and predict treatment response in certain nerve disorders.
11 citations
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February 2019 in “Frontiers in Physiology” Hair properties are interconnected; a comprehensive, cross-disciplinary approach is essential for understanding hair behavior.
June 2025 in “British Journal of Dermatology” Standardized forms and digital tools can improve alopecia biopsy diagnosis.
12 citations
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August 2022 in “Ecotoxicology and Environmental Safety” A new method accurately detects bisphenols and parabens in human hair.
7 citations
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February 2023 in “Journal of Dermatological Treatment” The Scalp Photographic Index (SPI) is a reliable tool for assessing scalp conditions.
November 2025 in “Journal of Investigative Dermatology” January 2026 in “International Journal of Molecular Sciences” Eyebrow follicles are best for accurate genetic testing after stem cell transplants.
2 citations
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June 2019 in “International Journal of Dermatology” The modified hair loss classification is more detailed but less user-friendly.
1 citations
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June 2011 in “Journal of Genetics” Some human genetic markers work for genetic studies in pig-tailed and stump-tailed macaques, which can help in their conservation.
79 citations
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July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
1 citations
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September 2021 in “Journal of Cosmetic Dermatology” B-mode ultrasonography and shear-wave elastography can help predict androgenetic alopecia early.
1 citations
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May 2001 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The system helps monitor hair properties using RGB video microscopy.
June 2025 in “Jurnal Bumigora Information Technology (BITe)” Naive Bayes algorithm can help predict hair loss risk early.
16 citations
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July 2023 in “Frontiers in Medicine” Reliable, non-invasive tools are needed for better vitiligo diagnosis.
3 citations
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January 2021 in “Molecular genetics & genomic medicine” The study found two new mutations in a Chinese patient with severe biotinidase deficiency.
May 2015 in “Journal of The American Academy of Dermatology” Treatment with biologic agents can significantly improve psoriasis symptoms, and blood biomarkers could potentially predict individual patient's response to treatment.
41 citations
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June 2006 in “Journal of Investigative Dermatology” Beard and scalp hair cells have different gene expressions, which may affect beard growth characteristics.
7 citations
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March 1993 in “International Journal of Oncology” Basal cell carcinoma shows keratin patterns similar to hair follicle structures.
5 citations
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September 2015 in “Journal of The American Academy of Dermatology” Taking photos of your own skin can lead to fewer skin biopsies for mole monitoring.
January 2018 in “Archives of general internal medicine” The document concludes that automatic biofiber hair implant is a new method for improving hair growth.
January 2015 in “프로그램북(구 초록집)” Many Korean women with female-pattern hair loss have reduced hair density at the temples.
60 citations
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October 2010 in “Molecular Imaging and Biology” Increased skin pigmentation in mice reduces bioluminescent signal accuracy.
95 citations
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January 2007 in “Human biology” Human hair can be classified into eight types based on physical features, not ethnicity.
1 citations
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May 2019 in “Journal of The American Academy of Dermatology” Mobile app ImageMeter calculates scalp area faster and reliably for alopecia treatment.
1 citations
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September 2024 in “arXiv (Cornell University)” Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
48 citations
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May 2015 in “PLOS ONE” DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
191 citations
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December 2003 in “Journal of Investigative Dermatology” Male pattern baldness is largely genetic, linked to the androgen receptor gene, and may relate to certain health issues.