April 1940 in “Archives of dermatology” Diagnosing and treating skin conditions is challenging, especially when drug reactions mimic other diseases.
April 2016 in “Journal of The American Academy of Dermatology” People with hair loss have low zinc levels; zinc supplements and laser therapy may help.
There's no clear link between female pattern hair loss, insulin resistance, and metabolic syndrome.
November 2003 in “Journal of Dermatology” Authors defend finasteride-depression link, suggest detailed medical history, and call for more investigation.
May 2002 in “British Journal of Dermatology” Hair loss caused by longer latent hair cycle and sudden miniaturization, not gradual follicle size reduction.
April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
4 citations
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April 2001 in “Experimental Dermatology” Using single dermal papillae is unreliable for analyzing androgen metabolism in hair follicles.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
27 citations
,
November 2012 in “Journal of Biomedical Optics” Confocal Raman microscopy can effectively study drug delivery in hair follicles using pig ear models.
April 2025 in “Journal of Cosmetic Dermatology” The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
November 2025 in “Psychoneuroendocrinology” Hair proteomics could be a useful, non-invasive tool for identifying stress-related disorders.
60 citations
,
December 2005 in “Biomedical Papers” Hair analysis can detect drug use but requires careful interpretation due to its complexity.
March 2025 in “medRxiv (Cold Spring Harbor Laboratory)” Hair proteomics could be a promising non-invasive way to identify stress-related disorders.
7 citations
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January 2005 in “Dermatology” A new method for studying hair follicles is easier and more precise, useful for hair loss and cancer treatment research.
January 2019 in “Florida International University Digital Commons (Florida International University)” TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
December 2010 in “Cancer Prevention Research” Presurgical models can effectively and affordably screen cancer prevention agents.
4 citations
,
September 1999 in “Journal of Clinical Forensic Medicine” Caffeine in hair might help identify people, but it's not always reliable.
March 2012 in “Society for Endocrinology BES 2012” A new method was developed to analyze certain hormones and drugs in human blood efficiently.
22 citations
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April 2020 in “Frontiers in Cellular and Infection Microbiology” Alopecia areata may be linked to scalp microbiome differences, suggesting potential treatments with prebiotics, probiotics, and postbiotics.
April 2017 in “Annales de Toxicologie Analytique” Hair analysis is crucial for diagnosing, managing, and monitoring addiction.
15 citations
,
February 2003 in “British Journal of Dermatology” The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
4 citations
,
June 2021 in “Scientific Reports” Hair fiber shape and curvature are not significantly linked when ancestry is considered.
2 citations
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May 2021 in “Journal of pharmaceutical and biomedical analysis” A new method was developed to accurately detect and measure 47 different drug ingredients in various products.
12 citations
,
August 2001 in “PubMed” CE-PTG is a better method for analyzing hair growth in androgenetic alopecia.
April 2017 in “Journal of Investigative Dermatology” Deep phenotyping helps distinguish between xeroderma pigmentosum and trichothiodystrophy, aiding in diagnosis and treatment.
11 citations
,
December 2002 in “Controlled Clinical Trials” Simple methods using DHT levels effectively assess compliance.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
27 citations
,
April 1978 in “Journal of Forensic Sciences” Enzyme typing can reliably characterize human hair.
6 citations
,
June 2018 in “PLOS ONE” The Alopecia Areata Assessment Tool (ALTO) effectively identifies alopecia areata from other hair loss types but needs more validation.