Results 121 to 130 of about 86,466 (169)

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka   +4 more
wiley   +1 more source

Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification

open access: yesArthritis &Rheumatology, EarlyView.
Objective Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu   +2 more
wiley   +1 more source

Analysis of risk factors for Takotsubo cardiomyopathy in older patients using large-scale medical reimbursement data. [PDF]

open access: yesSci Rep
Mizuuchi T   +7 more
europepmc   +1 more source

Immune Complexes Shape the Pathogenicity of Autoantibodies in Systemic Autoimmune Diseases: Insights From an FcγRIIIA‐Reporter Assay

open access: yesArthritis &Rheumatology, EarlyView.
Objective Immune complexes (ICs), formed by autoantigen and autoantibody, play a pathogenic role in systemic autoimmune diseases through stimulation of Fcγ receptors (FcγR). However, studies investigating bioactivity of circulating ICs across various diseases remain limited.
Koji Suzuki   +8 more
wiley   +1 more source

A retrospective analysis of interobserver variability in 356 cases over a period 10 years: Celiac disease. [PDF]

open access: yesBioinformation
Ghanghoria S   +5 more
europepmc   +1 more source

Machine Learning to Predict Remission Between 6 and 24 Months in Rheumatoid Arthritis: Insights From JAK, an International Registry Collaboration

open access: yesArthritis &Rheumatology, EarlyView.
Objective To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin‐6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK‐pot collaboration ...
Zubeyir Salis   +22 more
wiley   +1 more source

Demographic and Socioeconomic Factors Associated With ART Nonadherence Among 15 Years and Older South Africans. Evidence From the 2022 Cross-Sectional Population-Based Household Survey. [PDF]

open access: yesAIDS Res Treat
Chamane S   +13 more
europepmc   +1 more source

T cells, the Next Big Target in Axial Spondyloarthritis?

open access: yesArthritis &Rheumatology, EarlyView.
Axial spondyloarthritis (axSpA) is a chronic inflammatory disease characterized by complex immune dysregulation, with T cells playing a central role in its pathogenesis. In this review, we synthesize current knowledge on diverse T cell subsets in axSpA, their pathogenic mechanisms, and emerging therapeutic strategies targeting these cells. We highlight
Mansi K. Aparnathi, Nigil Haroon
wiley   +1 more source

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