Rheumatology

Latest AI and machine learning research in rheumatology for healthcare professionals.

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Dynamic changes in specific anti-L-asparaginase antibodies generation during acute lymphoblastic leukemia treatment.

BACKGROUND: L-asparaginase (L-asp) remains one of the key components of acute lymphoblastic leukemia...

Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.

Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs...

Impact of hyperprolactinemia in a patient with polyautoimmunity.

Hyperprolactinemia has been proposed as a triggering factor for autoimmune diseases. The increased l...

A Predictive Model for Guillain-Barré Syndrome Based on Ensemble Methods.

Nowadays, Machine Learning methods have proven to be highly effective on the identification of vario...

Placental CD4 T cells isolated from preeclamptic women cause preeclampsia-like symptoms in pregnant nude-athymic rats.

Preeclampsia (PE), new onset hypertension during pregnancy, is associated with a proinflammatory pro...

Optimizing immune cell therapies with artificial intelligence.

PURPOSE: We determine an optimal injection pattern for anti-vascular endothelial growth factor (VEGF...

[An unusual cause of jaundice].

Hepatic impairment is common during hyperthyroidism. It is most often asymptomatic. Hyperthyroidism ...

Anti-ulcer effect of Gallarhois extract with anti-oxidant activity in an ICR model of ethanol/hydrochloride acid-induced gastric injury.

Gallarhois (GR) is a traditional oriental herbal medicine with various pharmacological effects; howe...

Bioactivity of semisynthetic eugenol derivatives against (Lepidoptera: Noctuidae) larvae infesting maize in Colombia.

The anti-acetylcholinesterase, larvicidal, antifeedant activities and general toxicity of 15 semisyn...

Therapeutic Enoxaparin in the Morbidly Obese Patient: A Case Report and Review of the Literature.

Enoxaparin is a low molecular weight heparin commonly used in the treatment of venous thromboembolis...

Development of a competitive enzyme-linked immunosorbent assay for therapeutic drug monitoring of afatinib.

Afatinib is an oral tyrosine kinase inhibitor (TKI) approved for treating advanced non-small cell lu...

Deep Learning in Drug Discovery and Medicine; Scratching the Surface.

The practice of medicine is ever evolving. Diagnosing disease, which is often the first step in a cu...

Exploring the phenolic profile, antioxidant, antidiabetic and anti-hemolytic potential of Prunus avium vegetal parts.

The aim of the present work was to evaluate the phenolic profile of leaves, stems and flowers of P. ...

Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology.

Hospital readmission is one of the critical metrics used for measuring the performance of hospitals....

Anti-microbial Activity of Aqueous Gall Extract against Pathogenic .

BACKGROUND: gall extract is known to have broad spectrum anti-microbial activity . This study was c...

Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which speci...

Serum Transforming Growth Factor-Beta 1 Level in Egyptian Systemic Lupus Erythematosus Patients.

OBJECTIVES: This study aims to assess the role of transforming growth factor-beta 1 (TGF-β1) in syst...

Identification of lead anti-human cytomegalovirus compounds targeting MAP4K4 via machine learning analysis of kinase inhibitor screening data.

Chemogenomic approaches involving highly annotated compound sets and cell based high throughput scre...

Lupus nephritis pathology prediction with clinical indices.

Effective treatment of lupus nephritis and assessment of patient prognosis depend on accurate pathol...

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