Machine Learning Maps How Environment and Immunity Shape Childhood Eczema Risk
A machine learning analysis of 217 South African AmaXhosa children has identified one protective and two susceptibility clusters linking rural ...
A machine learning analysis of 217 South African AmaXhosa children has identified one protective and two susceptibility clusters linking rural ...
A 13-year cohort study of over 1,000 children with inherited metabolic disorders found that nearly one in four showed skin ...
A new systematic review and meta-analysis of 23 studies confirms that atopic dermatitis is marked by sharply reduced skin bacterial ...
A new systematic review and meta-analysis from Stony Brook researchers examines whether children with atopic dermatitis face an elevated risk ...
A 16-year Iranian study of 98 infants with atopic dermatitis found egg, cow's milk, and tree nuts were the most ...
A new review synthesizes evidence that gut microbial metabolites and dysbiosis shape atopic dermatitis, finding modest but significant benefits for ...
Researchers in Pakistan trained deep learning models to distinguish four histopathologically similar inflammatory skin diseases with up to 96.67 percent ...
An umbrella review of 60 meta-analyses grading 176 exposure–outcome associations in pediatric allergic diseases finds strong evidence for only three ...
A linked electronic health record and claims analysis of 401 US patients shows most begin abrocitinib at 100 mg, refill ...
A new perspective proposes that inflammatory skin conditions in children may serve as visible early indicators of climate-related environmental stress ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine