August 2024 in “Journal of the National Medical Association” ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
18 citations
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November 2005 in “European Journal of Cell Biology” Keratin gene clusters in humans and marsupials are similarly organized.
32 citations
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November 1998 in “Journal of Biological Chemistry” Mouse and human keratin 16 can both form filaments, with differences likely due to the tail domain, not the helical domain.
October 2023 in “Journal of the Endocrine Society” Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
7 citations
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November 2021 in “Clinical, Cosmetic and Investigational Dermatology” The new hair graft device is faster, more efficient, and reduces damage to hair follicles.
January 2024 in “Indian Journal of Dermatology” Unilateral keratosis follicularis squamosa may be a new subtype, successfully treated with asiaticoside ointment.
January 2015 in “Hair transplant forum international” The document's conclusion cannot be provided because the content is not available.
April 2023 in “The journal of investigative dermatology/Journal of investigative dermatology” Folliculotropic mycosis fungoides has unique molecular features and cell interactions that could guide targeted therapy.
May 2024 in “International Society of Hair Restoration Surgery” FUE hair transplantation effectively improves hair density and satisfaction in women with androgenetic alopecia.
August 2020 in “Textile research journal” The model helps understand how wool fiber structure affects its strength and flexibility.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
33 citations
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September 2017 in “Journal of Investigative Dermatology” A mutation in the KRT25 gene causes woolly hair and hair loss.
September 2017 in “Springer eBooks” FUE hair transplants have improved to give more natural results with less scarring and pain.
March 1996 in “Hair transplant forum international” Kevis P.F. may help with hair care when used with other products.
1 citations
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April 2017 in “Journal of Investigative Dermatology” A new one-step test can quickly identify skin cancer during surgery.
3 citations
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October 2021 in “Postepy Dermatologii I Alergologii” Checking the chin, thighs, upper lip, or lower abdomen is enough to predict hirsutism.
7 citations
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May 2022 in “PLOS ONE” Certain genes and pathways are linked to the production of finer and denser wool in Hetian sheep.
1 citations
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January 2020 FUE is a preferred hair restoration method because it avoids large scars and offers less pain.
12 citations
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March 2004 in “Journal of Investigative Dermatology”
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
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.
20 citations
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May 2007 in “Asian-Australasian Journal of Animal Sciences” KAP8.2 gene variations affect cashmere quality in goats.
November 2022 in “The journal of investigative dermatology/Journal of investigative dermatology” Linalool in personal care products may contribute to hair loss by damaging hair follicle stem cells and triggering harmful immune responses.
4 citations
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September 1999 in “Journal of Clinical Forensic Medicine” Caffeine in hair might help identify people, but it's not always reliable.
Collider bias can mislead our understanding of COVID-19 risk and severity.
4 citations
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January 2018 in “Hair transplant forum international” The document suggests changing "Follicular Unit Extraction" to "Follicular Unit Excision" to more accurately describe the surgical hair transplant procedure.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
November 2015 in “Hair transplant forum international” The document's conclusion cannot be provided as the content is not available to parse.