July 2025 in “Journal of Investigative Dermatology” Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
17 citations
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December 2014 in “Cell Stem Cell” Intravital imaging helps us better understand stem cells in their natural environment and could improve knowledge of organ regeneration and cancer development.
13 citations
,
August 1985 in “The Journal of Dermatology” HKN-2 antibody targets specific skin and hair cells, showing keratin complexity.
73 citations
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April 2006 in “BioTechniques” Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.
46 citations
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April 2005 in “Melanoma Research” 1 citations
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May 2016 in “Journal of nature and science” The method successfully imaged hair follicles under the skin using iron nanoparticles.
1 citations
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January 2017 The document outlines criteria to identify and differentiate neoplasms based on follicular characteristics.
9 citations
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September 2022 in “Frontiers in Physics” The technique accurately identifies and evaluates hair follicle structures in skin.
18 citations
,
May 2013 in “Journal of The American Academy of Dermatology” EVG staining is the most reliable method for diagnosing alopecia.
New imaging tools help doctors better examine hair and scalp health without surgery.
21 citations
,
June 2011 in “Investigative Ophthalmology & Visual Science” Hair follicles could help develop eye treatments by studying immune responses.
6 citations
,
December 1990 in “PubMed” Keratinocytes in hair follicles differentiate similarly to skin cells, with specific patterns in different regions.
50 citations
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May 2020 in “FEBS Letters” New techniques improve understanding of cell cycle dynamics at the single-cell level.
74 citations
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July 2008 in “Dermatologic therapy” Early detection and histopathology are crucial to prevent permanent hair loss in cicatricial alopecia.
11 citations
,
February 1982 in “Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis” A new method can detect mutations in mice by observing changes in hair follicle cells.
July 2025 in “Archives of Toxicology” The new skin model can predict how chemicals might cause skin allergies.
5 citations
,
February 2008 in “Histopathology”
Non-invasive methods can effectively diagnose and manage alopecia areata.
Normal cells stain well with fluorescent globulin, but tumor cells do not.
20 citations
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May 2016 in “Journal of Cutaneous Pathology” Using CD123 to detect certain immune cells helps diagnose a type of hair loss condition.
117 citations
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September 2003 in “Molecular & cellular proteomics” The technology can help diagnose and subtype autoimmune diseases by identifying specific autoantibodies.
2 citations
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June 2004 in “Journal of Molecular Histology” August 2024 in “STAR Protocols” The document provides a detailed method for analyzing gene expression in skin samples with hair follicles.
1 citations
,
January 1995 in “Skin Cancer” Immunohistochemistry helps accurately identify and differentiate malignant trichilemmoma.
21 citations
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July 2006 in “Veterinary dermatology” CD34 marks potential stem cells in dog hair follicles.
September 1997 in “Journal of The European Academy of Dermatology and Venereology” Examining scalp tissue under a microscope helps diagnose and understand hair loss diseases.
January 2024 in “Muller Journal of Medical Sciences and Research” Trichoscopy is a useful tool for diagnosing patchy hair loss, reducing the need for biopsies.
7 citations
,
January 1998 in “EXPERIMENTAL ANIMALS” The skin of both rat strains showed similar lectin binding patterns.
73 citations
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November 2001 in “Journal of Investigative Dermatology Symposium Proceedings” Markers help differentiate between apocrine and eccrine sweat glands to identify sweat gland tumors.
19 citations
,
July 1997 in “British Journal of Dermatology” LHTric-1 is a specific antibody useful for studying hair and nail formation.