118 citations
,
October 2013 in “Trends in Genetics” The AUTS2 gene is linked to neurological disorders and may affect human brain development and cognition.
June 2025 in “International Journal of Applied Pharmaceutics” A testosterone-induced hair loss model in mice was successfully created for future research and treatment testing.
7 citations
,
January 2011 in “Biochemistry Research International” Hard α-keratin has a universal molecular structure with a specific superlattice arrangement.
November 2025 in “DOAJ (DOAJ: Directory of Open Access Journals)” CD25+ CD4+ Tregs and certain plasma proteins are linked to hair loss.
8 citations
,
October 2022 in “International Journal of Molecular Sciences” Self-amplifying RNA could be a better option for protein replacement therapy with lower doses and lasting effects, but delivering it into cells is still challenging.
2 citations
,
September 2020 in “Journal of Education Health and Sport” Higher IL-15 levels are linked to more severe hair loss in alopecia areata.
January 2026 in “European Journal of Dermatology” Understanding alopecia is crucial to improving care and addressing hair loss concerns.
December 2016 in “Springer eBooks” A 45-year-old woman with autoimmune diseases experienced patchy hair loss due to alopecia areata, which has no cure but can be treated, with varying success.
Better models and evaluation methods for alopecia areata are needed.
4 citations
,
April 2021 in “Journal of Cosmetic Dermatology” Botulinum toxin may help hair loss by increasing blood flow and reducing harmful factors.
6 citations
,
July 2007 in “Developmental Dynamics” The molecule Wise is involved in the development of various structures in chick embryos.
56 citations
,
June 2010 in “Clinical and experimental dermatology” Coudability hairs are useful markers for alopecia areata activity.
November 2022 in “Annals of Translational Medicine” Immune activities and specific genes are important in male pattern baldness.
Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.
1 citations
,
March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
April 2023 in “Journal of Investigative Dermatology” A new pain-measuring system using sensors and AI can effectively detect pain in mice, which may help assess pain in humans and develop treatments.
January 2024 in “Journal of Cosmetics, Dermatological Sciences and Applications” Injecting a peptide-hyaluronic acid mix improved hair growth in men with hair loss and was safe.
December 2023 in “Journal of Investigative Dermatology” A specific type of immune cell plays a key role in causing alopecia areata and could be a target for treatment.
April 2021 in “Journal of Investigative Dermatology” Arg1+ macrophages may play a role in causing alopecia areata.
24 citations
,
February 2011 in “The American journal of pathology” AIRE protein, defective in APECED patients, is found in skin and hair cells and interacts with cytokeratin 17.
April 2023 in “Journal of Investigative Dermatology” The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
2 citations
,
February 2019 in “PubMed” Artificial hair implantation is a safe and effective hair restoration method with high patient satisfaction.
April 2017 in “Journal of Investigative Dermatology” Reduced Stx17 expression may contribute to Alopecia Areata.
January 2024 in “Updates in clinical dermatology” JAK inhibitors, PRP, and exosomes show promise for hair regrowth in Alopecia Areata.
March 2022 in “Wound practice & research” New treatments for alopecia areata show promise, but standardized guidelines are needed.
1 citations
,
September 2025 in “PLOS Digital Health” Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.
43 citations
,
December 1988 in “International Journal of Bio-Medical Computing” 3 citations
,
November 2017 in “PubMed” Alopecia areata progression is linked to stress and hormone changes, suggesting new treatment targets.
78 citations
,
August 1996 in “The Journal of Clinical Endocrinology & Metabolism” The same gene mutation can cause different symptoms in family members.
2 citations
,
September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.