March 2026 in “Jurnal Biomedika dan Kesehatan” No significant link was found between the rs1998076 gene variant and hair loss in Indonesians.
January 2020 in “Medpluse International Journal of Anatomy”
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
8 citations
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July 2015 in “International Journal of Dermatology” A new DSG4 gene mutation causes hair defects in a young girl.
January 2024 in “Pakistan Journal of Medical & Health Sciences” Innovative techniques improve hair transplant results and satisfaction in patients with low donor hair density.
65 citations
,
May 2006 in “Journal of Structural Biology” Hair curliness is due to uneven distribution of different cortices within the hair fiber.
12 citations
,
June 2006 in “Anais Brasileiros de Dermatologia” The study found average numbers for different types of hair follicles in the scalp and observed differences between men and women, suggesting reasons for more common hair shedding in women.
19 citations
,
December 2001 in “Dermatologic Therapy” Horizontal scalp biopsy sections are better for diagnosing alopecia areata, showing fewer hair follicles and more miniaturized hairs.
June 2023 in “Zenodo (CERN European Organization for Nuclear Research)” 16 citations
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July 2018 in “Experimental Dermatology” Removing Gata6 causes hair follicle and sebaceous duct enlargement.
7 citations
,
June 2011 in “Movement Disorders” A specific gene mutation is linked to a hereditary form of dystonia that responds well to certain medications.
60 citations
,
January 2007 in “Human Genetics” AR polyglycine repeat doesn't cause baldness.
May 2023 in “GSC biological and pharmaceutical sciences” Forensic DNA phenotyping is becoming useful for predicting physical traits in criminal investigations but is limited by ethical concerns and incomplete genetic understanding.
May 2024 in “JAAD Case Reports” A young man was diagnosed with a rare hair loss condition usually seen in older women.
May 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” The research mapped diverse cell types in mouse lacrimal glands, aiding understanding of gland biology and diseases.
January 2026 in “Elsevier eBooks”
1 citations
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August 2023 in “Journal of cutaneous pathology” The analysis of a large pilomatricoma revealed five distinct areas with different gene activity related to hair growth and tumor development.
112 citations
,
August 1984 in “Journal of Investigative Dermatology”
September 2023 in “International Journal of Dermatology” Younger people are at a higher risk for Fibrosing Alopecia in a Pattern Distribution than previously thought, with common symptoms and possible involvement of mast cells in its development.
Giant axonal neuropathy changes the structure of keratin in human hair, making it stiffer and stronger.
June 2024 in “Archives of Dermatological Research” SFRP2 and PTGDS may be key factors in female hair loss.
February 2026 in “Frontiers in Medicine” Men and women in Shanghai have different scalp aging and visual attention patterns.
April 2025 in “Experimental Eye Research” The Oat mouse model shows mild retinal degeneration, useful for testing treatments.
5 citations
,
July 2019 in “Applied statistics/Journal of the Royal Statistical Society. Series C, Applied statistics” Case-only trees and random forests improve predictions of treatment effects in clinical trials.
51 citations
,
September 2020 in “Nucleic Acids Research” The package helps analyze and interpret gene expression data by comparing it to a database of conditions.
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
4 citations
,
November 2011 in “Archives of Dermatology” Hamilton scale imprecise, hair shaft diameter decreases, stem cell transplant regrows hair, ECP ineffective for alopecia areata universalis.
2 citations
,
January 2010
2 citations
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January 1994 in “Journal of S C C J” The study concluded that certain hair growth measurements are good indicators of baldness severity and provide a more accurate assessment than subjective grading.
November 2025 in “Agriculture” Machine learning can effectively identify genes to improve wool quality in sheep.