15 citations
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January 2018 in “Journal of Cutaneous Medicine and Surgery” It's important to understand the differences between FMF and PFM in children.
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.
39 citations
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July 2015 in “British Journal of Dermatology” The pseudo 'fringe sign' can also appear in frontal fibrosing alopecia, not just in traction alopecia, showing that this condition may be more common than thought.
September 2015 in “Dermatologic Surgery” Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
April 2021 in “BMJ Case Reports” Accurate diagnosis of pseudolymphomatous folliculitis is crucial to avoid mistaking it for more serious conditions.
August 2025 in “Indian Dermatology Online Journal” Metaphors like "butterfly rash" and "moth-eaten" help doctors identify and describe skin conditions.
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.
2 citations
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January 2011 in “Lecture Notes in Computer Science” A proposed robotic system could make hair harvesting for baldness treatment faster and more precise.
36 citations
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June 2021 in “Experimental & Molecular Medicine” Targeting Hedgehog signaling may help treat ligamentum flavum fibrosis.
45 citations
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May 2022 in “Biomedicines” Analyzing follicular fluid can help predict and improve outcomes for women with PCOS undergoing fertility treatments.
119 citations
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November 2014 in “Trends in Cell Biology” Fibroblast growth factor receptor signaling controls cell development and repair, and its malfunction can cause disorders and cancer, but it also offers potential for targeted therapies.
Mechanical stress causes ligament thickening through WISP-1 and Hedgehog signaling.
April 2023 in “Journal of Investigative Dermatology” Being allergic to linalool, a common fragrance ingredient, might contribute to developing frontal fibrosing alopecia.
AI-assisted surgical robots improve surgery precision and safety.
8 citations
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May 2024 in “Diagnostics” AI chatbots can help teach dermatology but need careful checking for accuracy.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
July 2025 in “bioRxiv (Cold Spring Harbor Laboratory)” A new Wnt surrogate specifically targets the Frizzled7 receptor, promoting organoid formation and hair growth.
1 citations
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December 2017 in “Anais Brasileiros de Dermatologia” Frontal fibrosing alopecia can mimic traction alopecia but has distinct features like facial papules and eyebrow thinning.
10 citations
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July 2001 in “Hair transplant forum international” The document's conclusion cannot be provided because the document is not readable or understandable.
24 citations
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July 1994 in “Molecular Endocrinology” Researchers found an RNA transcript that might help control a growth factor linked to tumor development.
January 2024 in “Wiadomości Lekarskie” AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.
7 citations
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August 2009 in “Applied Mathematics and Mechanics-English Edition” Hair fibers have fractal patterns with properties related to the golden mean, which may affect their functionality.
1 citations
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December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
May 2009 in “South African Family Practice” The author believes that giving medical conditions official names can sometimes overwhelm or scare patients.
68 citations
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May 2016 in “Experimental dermatology” FFA's causes may include environmental triggers and genetic factors.
4 citations
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June 2022 in “Clinical, cosmetic and investigational dermatology” The new SFS Scale predicts hair transplant difficulty using hair and skin types, with thick skin and coily hair being hardest to work with.
1 citations
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March 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
February 2026 in “Pharmaceuticals” KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.