Sensory neuron remodeling and Merkel-cell changes happen independently during skin maintenance.
January 2026 in “International Journal of Cosmetic Science” Hair vibrancy involves how hair looks and feels, helping create better hair products.
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December 1989 in “PubMed” 80 citations
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January 2011 in “Clinical Chemistry and Laboratory Medicine (CCLM)” Hair cortisol levels can reflect salivary cortisol levels in humans.
13 citations
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January 2022 in “Microvascular Research” LSCI-HR is reliable for monitoring blood flow in wound healing in mice.
1 citations
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March 2015 in “Journal of Visualized Experiments” Researchers developed a new, precise method to measure hair loss in mice using image analysis.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
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.
January 2024 in “International Journal of Advanced Computer Science and Applications” Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
2 citations
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March 2025 in “PNAS Nexus” Raman spectroscopy can detect radiation exposure in mouse hair with high accuracy for up to 7 days.
February 2024 in “Jurnal Kesehatan Yamasi Makassar” Pondoh salak fruit peel extract is effective in shampoo and has strong antimicrobial properties.
Attractive women slightly worsened mood, green backgrounds improved mood, and older people had better moods.
10 citations
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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.
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January 2020 in “Royal Society Open Science” A new automated method accurately measures hair damage using microscopic images.
December 2019 in “Periodicals of Engineering and Natural Sciences (International University of Sarajevo)” Machine learning can predict hair health accurately using personal data.
A new image-based method improves accuracy in measuring hair loss in mice.
1 citations
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January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
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.
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
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January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
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October 2012 in “Journal of the American Academy of Dermatology” CLASI is a valid tool for assessing skin activity and damage in lupus patients.
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January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
AI can improve alopecia areata diagnosis with high accuracy.
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April 2012 in “Cancer research” Mouse skin cancer progression involves a unique group of cells marked by ABCG2 and MTS24.
September 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” A new staining method shows a special area in the hair's skin layer with lots of proteoglycans.
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April 2018 in “Journal of Mind and Medical Sciences” The mind and body don't directly interact; the mind acts as an interface linking abstract and physical data.
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June 2023 in “British Journal of Dermatology” The SAAD-41 scale effectively measures the psychosocial impact of alopecia areata.
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August 2021 in “Biomedicine & Pharmacotherapy” 5-alpha reductase inhibitors, like finasteride and dutasteride, may cause depression, but more research is needed to understand why.
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January 2024 in “Health Psychology Report” Black women with alopecia need better support and understanding from health professionals and social groups.
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December 2024 in “Qeios” Hair loss affects attractiveness but can suggest intelligence, and face perception is complex, involving factors like age and smile.