February 2026 in “International journal of intelligent engineering and systems” The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
November 2024 in “Image Analysis & Stereology” The method improves hair image segmentation accuracy while reducing annotation costs.
November 2024 in “Stem Cell Research & Therapy” A new method improves the isolation of hair follicle cells for better hair growth research.
2 citations
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July 2022 in “Stem cell research & therapy” A new method quickly and efficiently isolates hair follicle stem cells from adult mice, promoting hair growth.
March 2022 in “Research Square (Research Square)” The new method isolates more hair follicle stem cells from mice quickly and these cells help promote hair growth.
New methods efficiently isolate dermal papilla cells from hair follicles, preserving their characteristics better than traditional methods.
9 citations
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September 2022 in “Frontiers in Physics” The technique accurately identifies and evaluates hair follicle structures in skin.
A new image-based method improves accuracy in measuring hair loss in mice.
4 citations
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December 2021 in “Electronics” The new method predicts post-hair transplant images more accurately than other methods.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
April 2023 in “Journal of Investigative Dermatology” A new image-based method improves accuracy in measuring hair loss in mice.
10 citations
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November 2012 in “International Journal of Dermatology” Certain diseases like AIDS and lupus can make African hair become silky.
May 2023 in “Stem cell research & therapy” New method efficiently isolates hair growth cells from newborn mouse skin.
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.
14 citations
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January 2012 in “International Journal of Trichology” Hodgkin's lymphoma can show up as hair loss.
3 citations
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April 2002 in “The Lancet” Painful hair loss in an elderly woman was caused by giant cell arteritis, not just aging.
2 citations
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July 2022 in “Cureus” Recurrent pneumothorax can occur in Sjogren's syndrome, even without common markers.
August 2023 in “The American Journal of Medicine” A young woman with lupus was treated with hydroxychloroquine and prednisone.
January 2011 in “Liaoning Zhongyiyao Daxue xuebao” The traditional Chinese medicine treatment improved symptoms and was more effective for SLE patients.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
77 citations
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September 2001 in “Postgraduate Medical Journal” Men often look older due to greying hair and certain blood markers, while women look younger.
49 citations
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February 2009 in “Clinical Rheumatology” SLE is more common among Nigerians than previously thought, especially in women, requiring early treatment.
April 2026 in “Scientific Reports” The tool accurately tracks eyebrow hair loss in chemotherapy patients.
5 citations
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April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
7 citations
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February 2016 in “Arab journal of urology” People with early hair loss may have a higher chance of enlarged prostate and metabolic syndrome, so they should be checked for urinary and metabolic issues.
September 2024 in “Journal of Bioscience and Applied Research/Journal of Bioscience and Applied Research ” COVID-19 can cause hair loss due to stress, with inflammation markers like D-dimer levels playing a role.
50 citations
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December 2011 in “Skin Research and Technology” The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
6 citations
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July 2022 in “Biomedical Signal Processing and Control” The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.