6 citations
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February 2024 in “JAAD International” ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
28 citations
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May 2012 in “Experimental Dermatology” Alopecia areata helps study T cell-driven autoimmune diseases.
1 citations
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January 2024 in “Animal Research and One Health” Mouse models are essential for studying and improving genetic traits in agriculture.
Cialis and Finasteride could be repurposed to treat aggressive melanoma.
April 2018 in “Journal of Investigative Dermatology” The research found that blocking a gene called NEMO can potentially prevent harmful effects of aging at the cellular level.
1 citations
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June 2026 in “Disease Models & Mechanisms” Three-dimensional culture platforms improve hair loss drug testing.
51 citations
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February 2004 in “Environmental Health Perspectives” Control variability makes it hard to confirm low-dose endocrine effects.
December 2010 in “Jurnal Natural (Faculty of Mathematics and Natural Science, Syiah Kuala University)” Age, race, family history, and certain genetic factors increase prostate cancer risk.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
July 2022 in “Postepy biochemii” DNA markers can predict physical traits for forensic use, but there are ethical and technical challenges.
19 citations
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July 2017 in “PLoS ONE” Cell characteristics change with passage numbers, affecting experiment results.
20 citations
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March 2021 in “Cancers” Certain genetic variants increase the risk of aggressive prostate cancer.
August 2011 in “Journal of the Chinese Medical Association” Public education on iodine use is crucial for radiation protection, especially for children.
20 citations
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
December 2025 in “British Journal of Dermatology” January 2005 in “Yaowu fenxi zazhi” The method for measuring uncertainty in finasteride tablets is reliable.
18 citations
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January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
August 2013 in “eCommons (Cornell University)” Runx1 and CDK inhibitors help keep hair follicle stem cells inactive, affecting their future roles.
1 citations
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January 2018 in “ScholarWorks (Central Washington University)” Stress and PCOS together may increase depression and anxiety-like behaviors.
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November 2023 in “BMC chemistry” Tadalafil and Finasteride may help treat aggressive melanoma.
34 citations
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December 1991 in “Annals of the New York Academy of Sciences” The conclusion is that small hair follicles cause baldness in macaques, and treatments like antiandrogens and minoxidil can prevent hair loss and promote regrowth.
July 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” The study developed a 3D model that closely imitates remaining ovarian cancer after treatment and identified a potential drug targeting resistant cancer cells.
82 citations
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March 2016 in “Autoimmunity reviews” Animal models have helped understand hair loss from alopecia areata and find new treatments.
26 citations
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May 2024 in “Molecular Neurodegeneration” H1 increases risk for neurodegenerative diseases, while H2 offers protection but is linked to other disorders.
149 citations
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July 2017 in “PLoS Biology” Hair follicle patterns form through a mix of self-organization and signaling interactions.
67 citations
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November 2019 in “Nature Communications” Oncogenic melanocyte stem cells can develop into melanoma similar to human cases.
59 citations
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September 2008 in “Experimental dermatology” Both mouse and rat models are effective for testing alopecia areata treatments.
Understanding hair follicle communication can help treat hair loss.
1 citations
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December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
81 citations
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February 2016 in “Veterinary pathology” Progeroid mouse models show signs of early aging similar to humans, helping us understand aging better.