August 2024 in “Advanced Healthcare Materials” RK81 can help promote hair growth.
6 citations
,
October 2016 Understanding how keratin structures in hair are arranged and interact is key for creating methods to extract and purify them.
April 2023 in “Journal of Investigative Dermatology” The document's conclusion cannot be provided because the content is not accessible.
26 citations
,
October 1999 in “Archives of Dermatology” Curly hair in certain scalp areas can be an early sign of hair loss.
45 citations
,
March 2001 in “Journal of Investigative Dermatology” A new protein, mK6irs, is found in specific hair layers and may help understand hair growth and diseases.
5 citations
,
June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
January 2000 in “Acta Academiae Medicine Militaris Tertiae” Different keratins in hair follicles can help identify hair tumor origins.
December 2015 in “University of Birmingham Institutional Research Archive (University of Birmingham)” AKR1C3 could be a treatment target for metabolic issues in PCOS.
3 citations
,
December 2021 in “Proteins” Wool fiber curliness is linked to the presence of certain proteins and K38.
January 2024 in “Applied Mathematics and Nonlinear Sciences” The model helps understand alopecia areata and suggests better treatment strategies.
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
11 citations
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May 2013 in “Journal of Investigative Dermatology” KRTAP10 proteins help form the hair shaft's tough outer layer by interacting with specific hair keratins.
9 citations
,
September 2013 in “Journal of Applied Animal Research” The genetic variation in the KAP13-3 gene may affect cashmere fiber traits in Liaoning goats.
95 citations
,
October 2007 in “International Journal of Dermatology” A new method accurately classifies hair types, showing global hair diversity.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
November 2024 in “Journal of Investigative Dermatology” Hair evaluation is crucial for early diagnosis and management of ARCI, as hair loss often indicates severity.
24 citations
,
October 2024 in “Process Biochemistry”
1 citations
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March 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
The GG genotype of the KRT71 gene leads to longer wool in Gansu alpine fine-wool sheep.
4 citations
,
June 2021 in “Scientific Reports” Hair fiber shape and curvature are not significantly linked when ancestry is considered.
16 citations
,
May 2023 in “Journal of the American Statistical Association” A new method makes analyzing large datasets with rare events faster and more efficient.
November 2025 in “Informatica” The method greatly improves low-light sports images' quality and reduces artifacts.
March 2026 in “International Journal of Cosmetic Science” Pal-KCV peptide strengthens hair and reduces breakage by up to 52%.
20 citations
,
December 2017 in “Journal of Investigative Dermatology Symposium Proceedings” Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
70 citations
,
September 2017 in “Expert opinion on therapeutic patents” The review suggests that while many AKR1C3 inhibitors show promise for treating certain cancers, more research is needed to confirm their effectiveness in humans.
September 2025 in “Frontiers in Genetics” The method effectively extracts high-quality DNA from marmoset hair, avoiding blood chimerism.
13 citations
,
February 2025 in “Nature Communications” A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
3 citations
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July 2023 in “Nature Communications” The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.