1 citations
,
January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
5 citations
,
March 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Dynamic, light touch is sensed through a common mechanism involving Piezo2 channels in sensory axons.
May 2026 in “International Journal of Technology in Education and Science” The AI system accurately classifies hair loss types and explains its decisions.
June 2025 in “British Journal of Dermatology” Certain hair and scalp features can predict the severity of alopecia areata.
A hat with sensors can measure scalp moisture well, helping with hair care.
5 citations
,
April 2006 in “Skin Research and Technology” Scalp coverage scoring accurately measures hair loss and treatment effectiveness.
161 citations
,
July 2003 in “ACM Transactions on Graphics” Researchers developed a new model for more realistic computer graphics rendering of hair by considering how light scatters on hair fibers.
51 citations
,
January 2007 in “Animal Genetics” The gene for slick hair in Senepol cattle is located on chromosome 20 and may involve the SRD5A2 gene.
10 citations
,
November 1984 in “Journal of Colloid and Interface Science” The study found that the Marangoni effect causes the uneven wetting of surfactant-coated hair due to the surfactant moving into the water.
4 citations
,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
80 citations
,
January 2011 in “Clinical Chemistry and Laboratory Medicine (CCLM)” Hair cortisol levels can reflect salivary cortisol levels in humans.
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
19 citations
,
August 2018 in “Journal of the American Academy of Dermatology” Both lasers are equally effective and safe for treating freckles.
September 2022 in “Journal of Investigative Dermatology” Patient-reported outcomes better reflect the quality of life impact of alopecia areata than traditional severity scores.
3 citations
,
January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
15 citations
,
June 2020 in “Applied Materials Today” The SA-MS hydrogel is a promising material for improving wound healing and skin regeneration in diseases like diabetes and skin cancer.
April 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” QMSI is a valuable method for studying drug penetration in skin tissues.
January 2021 in “arXiv (Cornell University)” Self-supervised learning improves medical image classification accuracy.
25 citations
,
November 2010 in “Journal of Molecular Structure” Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
April 2016 in “Journal of Investigative Dermatology” Tumor cell adhesion is linked to higher risk of SLN metastasis and melanoma recurrence, and a model including these factors predicts these outcomes better than one with just clinical data.
1 citations
,
August 2023 in “Genome research” The spiny mouse regenerates ear tissue asymmetrically, with gene expression differences possibly explaining its unique healing abilities.
March 2005 in “International Journal of Cosmetic Science” A new method helps understand hair shine and various products improve hair care.
5 citations
,
April 2024 in “Heliyon” Wild and cultivated Saccharina latissima differ in chemical makeup and color due to environmental factors.
8 citations
,
July 2024 in “Scientific Reports” Salicylate helps wounds heal without scarring in mice.
2 citations
,
March 2025 in “PNAS Nexus” Raman spectroscopy can detect radiation exposure in mouse hair with high accuracy for up to 7 days.
March 2024 in “medRxiv (Cold Spring Harbor Laboratory)” Recent selection on immune response genes was identified across seven ethnicities.
A new image-based method improves accuracy in measuring hair loss in mice.
August 2024 in “Clinical and Experimental Dermatology” DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
November 2025 in “Frontiers in Medicine” The SAALIQ is a reliable tool for measuring the impact of alopecia areata on Spanish-speaking patients' quality of life.