Results 151 to 160 of about 389,689 (283)
Objective The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in those with IBD, but safety data are mixed. Methods This retrospective cohort study included patients with IBD aged at least 18 years from Optum's deidentified ...
Adam S. Mayer +4 more
wiley +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
A semi-mechanistic modeling strategy for infectious diseases forecasting: Error correction and probabilistic prediction. [PDF]
Hao Z +5 more
europepmc +1 more source
Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus
Objective Individuals with SLE can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the area deprivation index (ADI), and FS in a national SLE sample. Methods Data were derived from RISE, a national electronic health record‐based registry.
Baljeet Rai +7 more
wiley +1 more source
Machine Learning-Based probabilistic prediction of glacial lake formation using erosional and topographic features. [PDF]
Vashistha A, Dashora A, Shah AA.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Enhanced probabilistic prediction of pavement deterioration using Bayesian neural networks and cuckoo search optimization. [PDF]
Xiao F, Shi B, Gao J, Chen H, Yang D.
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Probabilistic prediction and context tree identification in the Goalkeeper game. [PDF]
Hernández N +4 more
europepmc +1 more source
Large-scale replication study reveals a limit on probabilistic prediction in language comprehension. [PDF]
Nieuwland MS +22 more
europepmc +1 more source

