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January 2010 in “Actas Dermo-Sifiliográficas” Immunization and throat bacteria may increase the risk of a hair loss condition called alopecia areata.
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August 1998 in “Dermatologic Surgery” Bobby Limmer was crucial in developing a hair transplant method that uses natural hair groupings for a more realistic look.
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January 2008 in “Durham e-Theses (Durham University)” Hair follicle stem cells are similar to mesenchymal stem cells and can become neural-like cells under certain conditions.
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
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July 2015 in “oURspace (University of Regina)” The method effectively grouped tweets into categories without knowing the number of groups beforehand.
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May 2018 in “Nature” Mammalian organs regenerate using stem cells and cell plasticity, but this ability declines with age.
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
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January 2013 in “Cochrane library” Some systemic treatments work for nail psoriasis but can have serious side effects.
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July 1990 in “The Journal of Pediatrics” A boy with toxic shock syndrome had severe heart rhythm problems but recovered with treatment.
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September 2019 in “University of Huddersfield Repository (University of Huddersfield)” Nanoemulsions can effectively deliver antiseptic agents deep into the skin.
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December 2014 in “Journal of Biomedical Informatics” Researchers created LabeledIn, a detailed list of drug uses, showing the importance of human input in making such lists.
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October 2025 in “Frontiers in Immunology” Avacopan is generally safe, with some minor side effects like nausea and fatigue.
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October 2023 Syntax-based neural networks can match Transformers in handling unseen sentences.
April 2026 in “Frontiers in Medicine” Enfortumab vedotin can cause skin issues, especially in older males, needing early monitoring.
January 2026 in “Frontiers in Medicine” Acupuncture reduces anxiety and depression in women with PCOS.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
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