June 2024 in “Computational and Structural Biotechnology Journal” Multi-omics techniques help understand the molecular causes of androgenetic alopecia.
April 2024 in “International journal of molecular sciences” Light-based treatment, Photobiomodulation, shows promise for non-invasive skin therapy with few side effects.
September 2023 in “Medicine” The research suggests immune system changes and specific gene expression may contribute to male hair loss, proposing potential new treatments.
April 2023 in “JMIR Research Protocols” The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
8 citations
,
March 2023 in “International Wound Journal” IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
47 citations
,
January 2024 in “iScience” Stress keratins are expressed less in diseased skin and are linked to differentiation, inflammation, and immunity.
54 citations
,
December 2004 in “PubMed” Cyclosporin A vesicles effectively regrow hair and reduce inflammation in alopecia areata.
29 citations
,
April 2020 in “Journal of Tissue Engineering and Regenerative Medicine” The experiment showed that human skin grown in the lab started to form early hair structures when special cell clusters were added.
October 2025 in “Communications Medicine” Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
January 2023 in “Journal of clinical pharmacy and therapeutics” Isoliensinine, a natural compound, prevents stress-related hair greying by blocking a specific receptor on hair cells.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
2 citations
,
April 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
September 2017 in “Pediatric Dermatology” The document concludes that an experimental drug may help wound healing in Epidermolysis Bullosa, links Hydroa vacciniforme to EBV, discusses diagnosing hair loss disorders, finds many children with eczema have allergies, reviews the safety of a skin medication in children, notes side effects of a Duchenne's treatment, and identifies a marker for pediatric mastocytosis.
19 citations
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July 2017 in “PLoS ONE” Cell characteristics change with passage numbers, affecting experiment results.
19 citations
,
July 2006 in “Acta crystallographica” Errors found in identifying furosemide and finasteride polymorphs due to incomplete data.
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
68 citations
,
January 2007 in “Journal of Cosmetic and Laser Therapy” Laser/light treatments for hair loss are popular but lack scientific data proving effectiveness.
56 citations
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March 2016 in “International Wound Journal” Skin grafts are effective for chronic leg ulcers, especially autologous split-thickness grafts for venous ulcers, but more data is needed for diabetic ulcers.
January 2014 in “HAL (Le Centre pour la Communication Scientifique Directe)” Sex hormones affect dog skin conditions, but more data is needed.
13 citations
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May 2020 in “Journal of Plastic Reconstructive and Aesthetic Surgery” Botulinum toxin's effectiveness for treating scalp alopecia is not well-supported due to insufficient data.
1 citations
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December 2013 in “Turkderm” Use of cosmeceuticals during pregnancy and breastfeeding is not recommended due to insufficient safety data.
85 citations
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June 2015 in “Scientific Reports” The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
2 citations
,
September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
January 2024 in “Wiadomości Lekarskie” AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
17 citations
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May 1998 in “Steroids” Researchers developed a model to predict how well certain compounds can block an enzyme related to hair loss and prostate issues, suggesting a 50 mg dose of finasteride might be effective based on lab and body data.
16 citations
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May 2019 in “International Journal of Women's Dermatology” The new FDA labeling rules provide more detailed drug safety information for pregnant and breastfeeding women, but more data is needed on the risks of many dermatologic drugs.
54 citations
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April 2020 in “Experimental & Molecular Medicine” Cox-2 significantly contributes to the development and progression of skin and esophageal cancers.
14 citations
,
July 2011 in “Experimental Dermatology” Applying EGCG on the skin can prevent hair loss caused by testosterone in mice.
February 2008 in “Experimental dermatology” Oxidative stress plays a significant role in vitiligo, and both skin and non-skin cells may be involved.