New methods to classify curly hair types were developed based on shape and strength.
5 citations
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November 2022 in “Genetics selection evolution” Low-coverage sequencing is a cost-effective way to find genetic factors affecting rabbit wool traits.
4 citations
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September 2010 in “Journal of Dermatological Science” A new gene location for Keratosis follicularis squamosa was found on chromosome 7p14.3-7p12.1.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
November 2019 in “Hair transplant forum international” The SketchAndCalc app is a faster and more precise method for measuring hair transplant areas than traditional grid counting.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
November 2023 in “Advanced Science” A specific hair protein variant increases the spread of breast cancer and is linked to worse survival rates.
37 citations
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May 1998 in “Journal of Dermatological Science” Basal cell carcinoma shows keratin patterns similar to undifferentiated hair follicle cells.
6 citations
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January 2018 in “Multimedia Tools and Applications” The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
14 citations
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September 2006 in “OMICS A Journal of Integrative Biology” DNA microarrays help study skin diseases and biology, leading to advancements in understanding and treatment.
The KRT84 gene is linked to better wool quality in Gansu Alpine Fine-wool sheep.
139 citations
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December 1998 in “The journal of investigative dermatology/Journal of investigative dermatology” K6hf is a unique protein found only in a specific layer of hair follicles.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
February 2022 in “arXiv (Cornell University)” A new method accurately captures and renders hair color for real and synthetic images.
38 citations
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December 2006 in “Journal of Investigative Dermatology” Keratin patterns in hair follicles help understand hair growth and potential hair and nail disorders.
44 citations
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May 2023 in “MedComm” PROTAC technology shows promise for cancer treatment but needs more effective E3 ligase recruiters.
175 citations
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September 1998 in “British Journal of Dermatology” Keratin 17 gene mutations cause both steatocystoma multiplex and pachyonychia congenita type 2.
19 citations
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April 1999 in “British Journal of Dermatology” Keratin 2e shows a unique pattern in developing fetal skin, different from other keratins.
2 citations
,
October 2025 in “Cells” PKM2 is a promising target for heart repair and regeneration.
March 2026 in “European Urology Focus” Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.
1 citations
,
March 2009 in “Hair transplant forum international” The TrichoScan method effectively measures hair growth and helps choose patients for hair restoration surgery.
29 citations
,
February 2001 in “Proceedings of the National Academy of Sciences” A specific DNA region controls skin cell gene expression by working with certain proteins.
17 citations
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November 2017 in “Asian-Australasian journal of animal sciences” Certain gene mutations are linked to wool quality in sheep and could help in breeding for better wool.
1 citations
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January 2022 in “Electronic Imaging” A new method accurately captures and renders hair color for virtual reality and hair dye use.
2 citations
,
January 2022 in “Materials today: proceedings” Caffeine may be good for hair growth and skin care because it binds well with keratin.
31 citations
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May 2018 in “Seminars in Plastic Surgery” An algorithm was created to simplify lip reconstruction after surgery.
12 citations
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January 2000 in “Biochemical and Biophysical Research Communications” The study mapped keratin 15 and 19 genes, aiding future genetic disorder research.
July 2025 in “Frontiers in Medicine” Baricitinib successfully regrew hair in an 8-year-old boy with alopecia totalis linked to a KRT74 gene variant.