54 citations
,
February 2002 in “Carcinogenesis” Increasing SSAT makes skin more prone to cancer.
Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.
May 2026 in “Journal of Wildlife and Conservation Medicine” Mange-like skin lesions in snow leopards and prey in Kyrgyzstan raise concerns about disease spread.
1 citations
,
December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
18 citations
,
December 1992 in “Journal of Cutaneous Pathology” Skin tumors and normal skin structures have different lectin-binding patterns.
6 citations
,
December 2018 in “Australasian Journal of Dermatology” The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.
13 citations
,
September 2018 in “Journal of the American Academy of Dermatology” The document concludes that a new system using the SALT score should replace the current alopecia areata classification for better accuracy in assessing severity and prognosis.
August 2000 in “Microscopy and Microanalysis” The method successfully visualizes iodine in biological tissues.
January 2026 in “Colloids and Surfaces B Biointerfaces” A silicone treatment makes damaged hair more water-resistant and stronger.
132 citations
,
November 1998 in “Journal of the American Academy of Dermatology” Topical sensitizers have mixed success in treating alopecia areata.
February 2025 in “bioRxiv (Cold Spring Harbor Laboratory)” Hair follicles protect melanocytes from sun damage, helping them replenish skin.
16 citations
,
April 2017 in “ACM Transactions on Graphics” Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.
Meis2 is essential for touch sensation and nerve function in mice.
27 citations
,
February 2003 in “Cell and Tissue Research” FM dyes effectively stain Merkel cells for long-term observation.
April 2023 in “Journal of Investigative Dermatology” The research shows that skin cancer likely originates from hair follicles and that certain cell populations expand to promote skin cancer growth.
17 citations
,
April 2004 in “Acta Clinica Belgica” UV light makes skin signs of lack of carotene and vitamin A more visible.
1 citations
,
March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
January 2016 in “Columbia Academic Commons (Columbia University)” Mammalian touch receptors have evolved to detect different features, enhancing our ability to perform various tasks and interact socially.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
19 citations
,
November 2014 in “Journal of Comparative Physiology A” Spider joint hair sensilla are adapted to sense movement during walking.
4 citations
,
November 2023 in “ArXiv.org” A new method improves the accuracy and reliability of language models by up to 42%.
5 citations
,
July 1999 in “Journal of Anatomy” Methylene blue staining effectively reveals detailed nerve structures in rat snouts.
52 citations
,
March 2007 in “Dermatologic Therapy” The CLASI is a reliable tool for measuring the severity of cutaneous lupus erythematosus.
February 2024 in “Journal of the American Academy of Dermatology” Vascular patterns in dermoscopy help tell apart malignant and benign skin tumors.
2 citations
,
November 2024 Machine learning can accurately predict mental disorders.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
61 citations
,
June 2019 in “BMC Genomics” lncRNAs significantly influence koi carp skin color.
7 citations
,
August 2015 in “Dermatologic Surgery” The cross beam laser is a useful tool for safely measuring scalp stretchiness to improve hair transplant results.
1 citations
,
November 2024 in “Journal of Dermatological Treatment” Significant hair regrowth doesn't always mean complete hair recovery in alopecia areata.
An automated system can accurately classify hair disorders using image analysis.