June 2024 in “Archives of Dermatological Research” Higher blood sugar levels may lead to more severe hair loss in women.
May 2024 in “Archives of dermatological research” LGFs slightly improve hair transplant results more than PRP.
April 2023 in “Journal of Investigative Dermatology” PTEN was identified as a specific marker for the skin disease cutaneous lupus erythematosus, and it helps increase the expression of harmful type I interferons.
116 citations,
September 2020 in “Nature Communications” The research identified various cell types in mouse and human teeth, which could help in developing dental regenerative treatments.
85 citations,
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.
57 citations,
January 2009 in “Indian Journal of Dermatology, Venereology and Leprology” Finasteride gel is slightly more effective than the tablet for treating hair loss.
37 citations,
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.
34 citations,
January 2020 in “IEEE Access” A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
33 citations,
June 2017 in “Developmental Biology” Mice can correct hair follicle orientation without certain genes, but proper overall alignment needs those genes.
25 citations,
November 2022 in “British journal of dermatology/British journal of dermatology, Supplement” Baricitinib for severe alopecia areata is generally safe, with common side effects like infections and acne, and low rates of serious complications.
24 citations,
June 2012 in “BMC Research Notes” The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
18 citations,
January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
13 citations,
April 2010 in “Journal of dermatological science” Chemotherapy-induced hair loss is partly due to decreased laminin-511 and increased laminin-332.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
4 citations,
November 2020 in “BMC Dermatology” Researchers identified genes in scalp hair follicles that may affect hair traits and hair loss.
4 citations,
February 2021 in “Journal of Pharmaceutical Sciences” The model can help predict how finasteride and minoxidil work when applied to the scalp.
3 citations,
July 2023 in “Nature Communications” The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
3 citations,
April 2022 in “Microorganisms” People with severe hair loss (Alopecia Areata) have different scalp bacteria than healthy people, which might help predict the condition's progress.
3 citations,
August 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
3 citations,
May 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The unique coat of lykoi cats is likely caused by new variants in the Hairless gene.
2 citations,
October 2023 in “Science advances” Touching hair can activate nearby nerve cells through signals from the hair's outer layer.
2 citations,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
2 citations,
June 2020 in “Research Square (Research Square)” A prostate cancer drug can lower the levels of a protein that the coronavirus uses to enter lung cells.
1 citations,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
1 citations,
January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
Transfer learning with three neural network architectures accurately classifies hair diseases.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
July 2022 in “Journal of Investigative Dermatology” The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
July 2020 in “The journal of investigative dermatology/Journal of investigative dermatology” Scientists found new and known long non-coding RNAs in mouse hair follicle stem cells that may be important for stem cell function and could be targets for cancer treatment.