Results 51 to 60 of about 215,159 (124)
Objectives To explore the agreement between patient-reported flare status and clinically significant flare status in patients with rheumatoid arthritis (RA) in sustained remission.Method Patients with RA in remission for ≥12 months on stable treatment ...
+22 more
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Introduction: It is well known that musicians are a group prone to suffer from playing-related musculoskeletal disorders. Professional orchestra musicians play for several hours a week and have to fight against pain caused by their profession. The aim of
Cláudia Maria Sousa+3 more
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Omentin: a biomarker of cardiovascular risk in individuals with axial spondyloarthritis
Cardiovascular (CV) disease is the main cause of mortality in axial spondyloarthritis (axSpA). CV risk is enhanced by dysregulation of adipokines. Low omentin levels were associated with metabolic dysfunction and CV disease in conditions different from ...
Fernanda Genre+24 more
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Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization [PDF]
Musculoskeletal conditions affect more than 1.7 billion people worldwide based on a study by Global Burden Disease, and they are the second greatest cause of disability[1,2]. The diagnosis of these conditions vary but mostly physical exams carried out and image tests.
arxiv
Enhancing Canine Musculoskeletal Diagnoses: Leveraging Synthetic Image Data for Pre-Training AI-Models on Visual Documentations [PDF]
The examination of the musculoskeletal system in dogs is a challenging task in veterinary practice. In this work, a novel method has been developed that enables efficient documentation of a dog's condition through a visual representation. However, since the visual documentation is new, there is no existing training data.
arxiv +1 more source
Background Patients with systemic juvenile idiopathic arthritis (sJIA) and adult-onset Still’s disease (AOSD) have been under-represented in studies about safety of the COVID-19 immunization. We aimed to inquire about the safety and tolerability of COVID-
Mariana Correia Marques+7 more
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Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data [PDF]
Machine learning requires a large volume of sample data, especially when it is used in high-accuracy medical applications. However, patient records are one of the most sensitive private information that is not usually shared among institutes. This paper presents spatio-temporal split learning, a distributed deep neural network framework, which is a ...
arxiv
The transcription factor STAT5 is fundamental to the mammalian immune system. However, the relationship between its two paralogs, STAT5A and STAT5B, and the extent to which they are functionally distinct, remain uncertain.
Alejandro Villarino+11 more
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Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data [PDF]
Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current treatment options are limited to symptomatic relief. Prediction of OA progression is a very challenging and timely issue, and it could, if resolved, accelerate the disease modifying drug development and ultimately help to prevent millions of total joint ...
arxiv
Isolation of Dendritic Cells and Macrophages from the Murine Kidneys of Lupus by Cell Sorter
Methods for the isolation and characterization of mononuclear phagocytes from the kidneys of mice with SLE are essential to understand the patho-physiology of the disease. Activation of these cells is associated with the onset of clinical disease in mice
Ramalingam Bethunaickan, Anne Davidson
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