Results 221 to 230 of about 239,135 (329)
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Reading the palms: Palmar hyperlinearity and type 2 biomarkers as early predictors of atopic dermatitis onset in infancy? [PDF]
Vroman F, de Graaf M.
europepmc +1 more source
ABSTRACT Hypoparathyroidism, sensorineural deafness, and renal dysplasia (HDR) syndrome is caused by pathogenic variants in the GATA3 gene located on chromosome 10p14. Here we present a 10‐year‐old girl with HDR syndrome who also has oligoarticular juvenile idiopathic arthritis (JIA).
Lauren N. Meiss +8 more
wiley +1 more source
Integrative multi-omics analysis reveals gut-skin axis mechanisms and novel therapeutic target <i>GALE</i> in atopic dermatitis. [PDF]
Cao F +8 more
europepmc +1 more source
ABSTRACT To evaluate the prevalence of psychiatric signs and symptoms and describe psychotherapeutic and psychopharmacological interventions among children with osteogenesis imperfecta (OI). PRISMA guidelines were followed, and the study was registered in PROSPERO (CRD42024588284). Studies (n = 1419) were identified across five databases.
Julia M. Morales +13 more
wiley +1 more source
JAK-1 inhibitors in the management of atopic dermatitis in patients over 65 years old: a descriptive cohort study. [PDF]
Zheng J +6 more
europepmc +1 more source
ABSTRACT The KDM2B‐related neurodevelopmental disorder is a recently identified Mendelian disorder of the epigenetic machinery associated with pathogenic variants in KDM2B. Global developmental delay, intellectual disability, congenital anomalies, and systemic manifestations characterize the disorder.
Adriana Gomes +3 more
wiley +1 more source
Z. C. Chiesa Fuxench +12 more
semanticscholar +1 more source
ABSTRACT Background Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of whole‐slide images (WSIs) to enable quantitative assessment of nasal inflammatory cells.
Xu Zhang +9 more
wiley +1 more source

