Results 61 to 70 of about 857,167 (170)

LP-199 Medications given to patients with incomplete systemic lupus erythematosus

open access: yesLupus Science and Medicine, 2023
Anastasiia Shumilova   +5 more
doaj   +1 more source

Clinical and serological manifestations associated with interferon-α levels in childhood-onset systemic lupus erythematosus

open access: yesClinics, 2012
OBJECTIVE: To determine the serum levels of interferon alpha in childhood-onset systemic lupus erythematosus patients, their first-degree relatives and healthy controls and to evaluate the associations between serum interferon alpha and disease activity,
Mariana Postal   +5 more
doaj  

Evans syndrome as a presentation in systemic lupus erythematous, coexisting with Hashimoto’s thyroiditis and pernicious anemia: a case report

open access: yesJournal of Medical Case Reports
Background Evans syndrome is a rare disorder characterized by the simultaneous or sequential combination of autoimmune hemolytic anemia and immunological thrombocytopenia, together with a positive direct antiglobulin test.
Maryam Mansour   +4 more
doaj   +1 more source

LP-113 Systemic lupus erythematosus induced by experimental therapy with a combination of monoclonal antibodies against the sars-cov2 surface s-protein

open access: yesLupus Science and Medicine, 2023
Mariia Aristova   +4 more
doaj   +1 more source

Phenome-wide causal proteomics enhance systemic lupus erythematosus flare prediction: A study in Asian populations [PDF]

open access: yesarXiv
Objective: Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by unpredictable flares. This study aimed to develop a novel proteomics-based risk prediction model specifically for Asian SLE populations to enhance personalized disease management and early intervention.
arxiv  

Classification on Large Networks: A Quantitative Bound via Motifs and Graphons [PDF]

open access: yesarXiv, 2017
When each data point is a large graph, graph statistics such as densities of certain subgraphs (motifs) can be used as feature vectors for machine learning. While intuitive, motif counts are expensive to compute and difficult to work with theoretically. Via graphon theory, we give an explicit quantitative bound for the ability of motif homomorphisms to
arxiv  

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