5 citations
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December 2022 in “arXiv (Cornell University)” This study used a deep learning approach that successfully predicts alopecia, psoriasis, and folliculitis with a 2D convolutional neural network, achieving a training accuracy of 96.2% and validation accuracy of 91.1%.
3 citations
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March 2024 in “Journal of the American Academy of Dermatology” Low-dose naltrexone helps improve symptoms and stabilize frontal fibrosing alopecia and lichen planopilaris.
16 citations
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March 2013 in “International Journal of Dermatology” This study found that infectious skin diseases were prevalent in immigrant Latino poultry processors and manual workers in North Carolina, with tinea pedis and onychomycosis being particularly common.
26 citations
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November 2022 in “European journal of medical research” This review discusses the potential of nanoparticles to modify angiogenesis processes for therapeutic applications and reports no new clinical results, highlighting challenges and future prospects in treating angiogenesis-related diseases.
3 citations
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January 2023 in “European Journal of Information Technologies and Computer Science” This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.