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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.
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May 2016 in “Experimental dermatology” FFA's causes may include environmental triggers and genetic factors.
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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.
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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.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
FGF5 spliceosomes inhibit rabbit hair growth by affecting gene expression.
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November 1992 in “Indian Dermatology Online Journal” FUE is a popular hair restoration method that uses body hair and leaves no scars.
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May 1998 in “Acta agriculturæ Scandinavica. Section A, Animal science” Blue foxes born later in the season have a slightly delayed fur growth cycle, but it catches up by mid-November.
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September 2016 in “Genes Brain & Behavior” Zfp462 deficiency in mice causes anxiety-like behaviors and excessive self-grooming.
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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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May 2018 in “BMC genomics” Researchers found genes and microRNAs that control curly fleece in Chinese Tan sheep.
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July 2004 in “Australasian Journal of Dermatology” Follicular mycosis fungoides can look like a B-cell lymphoma, making diagnosis difficult.
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March 2009 in “Hair transplant forum international” The author believes that in hair restoration, creating an illusion of coverage is more important than perfection, and managing expectations and improving average results should be prioritized over promising unrealistic outcomes.
Robotic FUE hair transplants are better for men because they are precise, safe, and look natural.
November 2022 in “Research Square (Research Square)” Using facial sunscreen and moisturizer may increase the risk of frontal fibrosing alopecia.
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June 2021 in “Biological reviews/Biological reviews of the Cambridge Philosophical Society” Understanding molecular pathways is key to improving organ regeneration.
Technology enhances human design thinking, creating new possibilities.
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July 2012 in “ACM transactions on graphics” The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
73 citations
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June 2006 in “Animal genetics” The FGF5 gene determines hair length in dogs.
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April 2019 in “Journal of The American Academy of Dermatology” Frontal Fibrosing Alopecia may be a complex condition linked to hormonal changes in women, not just a form of Lichen Planopilaris.
November 2022 in “The journal of investigative dermatology/Journal of investigative dermatology” Linalool in personal care products may contribute to hair loss by damaging hair follicle stem cells and triggering harmful immune responses.
July 2024 in “Journal of Investigative Dermatology” Linalool in fragrances may harm hair follicles and contribute to hair loss.
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November 2011 in “Pediatric dermatology” 28 citations
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June 1995 in “The Journal of Dermatology” The flaky skin mouse mutation is a natural model for studying human psoriasis.
Female pattern hair loss and polycystic ovary syndrome are often linked.
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January 2021 in “Dermatologic Therapy” AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
September 2023 in “JP Journal of Biostatistics” The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
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January 1980 in “Computer Physics Communications”