The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
6 citations
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August 2004 in “Journal of Chemical Information and Computer Sciences” The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.
July 2025 in “Journal of Investigative Dermatology” Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
116 citations
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September 2020 in “Nature Communications” The research identified various cell types in mouse and human teeth, which could help in developing dental regenerative treatments.