Results 221 to 230 of about 631,893 (306)
The association of a common HFE gene variant with stroke disability utilizing predictive machine learning and electronic health records. [PDF]
Markus H +4 more
europepmc +1 more source
Bridging the gap: a guide to the disabled students' allowances (DSAs) in higher education : guide for 200 [PDF]
core
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban +13 more
wiley +1 more source
Clinical Prediction of Functional Decline in Multiple Sclerosis Using Volumetry-Based Synthetic Brain Networks. [PDF]
Ciubotaru A +15 more
europepmc +1 more source
Objective Rheumatoid sarcopenia, characterized by the progressive loss of skeletal muscle mass and function, is a frequent comorbidity in rheumatoid arthritis (RA), linked to prolonged, severe systemic inflammation. Purinergic signaling (adenosine, AMP, and ATP) plays a crucial role in inflammation, myogenesis, and muscle hypertrophy.
Miguel Marco‐Bonilla +13 more
wiley +1 more source
Qualitative Investigation of Challenges for Students with Learning Disabilities Attending Saudi Universities. [PDF]
Abed MG, Shackelford TK.
europepmc +1 more source
Objective Interstitial lung disease (ILD) is an important extra‐articular manifestation of rheumatoid arthritis (RA) associated with high mortality and morbidity. Lung ultrasonography (LUS) has recently emerged as a possible screening tool. We assessed the role of LUS in monitoring radiologic progression and the development of new interstitial lung ...
Marie Vermant +15 more
wiley +1 more source
Children with disabilities in nutrition programmes: Thematic analysis of training and guidelines. [PDF]
Fulford K +5 more
europepmc +1 more source
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

