This study reviewed the use of self-supervised Auto ML models for detecting alopecia areata, finding significant advancements in automated diagnosis but also challenges such as model explainability and data bias, which may guide future AI-driven dermatological diagnostics.
2 citations
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September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” This study reported that AutoML effectively modeled itching and pain development, as well as app use, in patients with chronic eczema or psoriasis using a smartphone monitoring app, revealing that factors like BMI, age, and disease activity significantly influenced app engagement.
24 citations
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October 2022 in “Cell Regeneration” This study describes a new mouse model for vitiligo that mimics key clinical features such as skin depigmentation and CD8 + T cell infiltration, providing a useful tool for in-depth research and drug discovery.
48 citations
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September 2020 in “Frontiers in Immunology” In this study, researchers found that loss of OGG1 in a mouse model of systemic lupus erythematosus increased IFN-driven immune responses and aggravated skin lesions, suggesting a protective role for OGG1 in SLE skin disease.
July 1998 in “Dermatologic Surgery” Various techniques and tools for hair restoration were presented in 1998, including a mathematical model for donor area, use of lasers in surgery, methods for controlling grafted hair direction, and ways to increase graft yield. Satisfaction rates were around 39%, and studies showed trauma and dehydration can damage hair follicles.