Rheumatology

Lupus

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

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Rapid Detection From Clinical Mastitis Milk by Colloidal Gold Nanoparticle-Based Immunochromatographic Strips.

Rapid diagnostic technologies for bovine mastitis caused by () are urgently needed. In the current study, we generated an anti-ribosomal protein-L7/L12 antibody to detect and an anti-ribosomal protein-L7/L12 antibody-coated immune-chromatographic strip (ICS) test. Moreover, we determined the ability of the ICS test to detect from milk samples collected from cows with clinical mastitis. The deve...

Jan 22 2020 32039249

Anti-toxoplasma, antioxidant and cytotoxic activities of (Fée) T. Moore hexane fraction.

The apicomplexan parasite () causes toxoplasmosis in humans. Pyrimethamine and sulfadiazine that are the drugs of choice to treat the disease, produce severe side effects as well as failure treatments because of drug resistance; thus, novel anti-Toxoplasma compounds are needed and natural compounds can be a good source to obtain them, as medicinal plants have been used to control other apicomplex...

Dec 31 2019 32127756
Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of ant...

Dec 27 2019 31911332
Membranous Nephropathy with Rapid Progression.

We report a 49-year-old man with microscopic hematuria, subnephrotic proteinuria, and rapidly progressive renal failure. His biopsy had features of Ph...

Dec 27 2019 32015602
Antimicrobial, anti-cancer, anti-filarial and anti-inflammatory activities of Cowabenzophenone A extracted from the endophytic fungus isolated from a mangrove plant .

Cowabenzophenone A was isolated from an endophytic fungus Aspergillus terreus isolated from a mangrove plant Bruguiera gymnorrhyza. The structure was ...

Dec 27 2019 33329925
Discovery of potential 1,3,5-Triazine compounds against strains of Plasmodium falciparum using supervised machine learning models.

The Malaria burden was an escalating global encumbrance and need to be addressed with critical care. Anti-malarial drug discovery was integrated with ...

Dec 25 2019 31883446
Efficient identification of novel anti-glioma lead compounds by machine learning models.

Glioblastoma multiforme (GBM) is the most devastating and widespread primary central nervous system tumor. Pharmacological treatment of this malignanc...

Dec 19 2019 31978780
Crocin exerts improving effects on indomethacin-induced small intestinal ulcer by antioxidant, anti-inflammatory and anti-apoptotic mechanisms.

Crocin is a plant-derived carotenoid and bears potent antioxidant property. Ranitidine (a histamine H receptor blocker) is used for peptic ulcer treat...

Dec 15 2019 32206222
Effect of experimental infectious bursal disease virus on clinical signs and pathogenesis of avian influenza virus HN in turkey by real time PCR.

Infectious bursal disease virus (IBDV) in turkeys may result in immunosuppression, and inability of turkeys to resist nonpathogenic or less pathogenic...

Dec 15 2019 32206224
Toxicity and Anti-promastigote Activity of Benzoxazinoid Analogs Against and .

Here, we aim to evaluate the antileishmanial activity of compounds with a benzoxazinoid (BX) skeleton, previously synthesized by our group, against ...

Dec 11 2019 32002370
Synthesis and biological characterization of MnZnEuDyFeO nanoparticles by sonochemical approach.

Metallic nanoparticles (NPs) possess unique properties which makes them attractive candidates for various applications especially in field of experime...

Dec 6 2019 32228890
Action mechanism of anti-wrinkle effect of methanol extract in human dermal fibroblast and keratinocyte cell lines.

is a deciduous broad-leaf bush and endemic species widely found in Korea. Recently, we reported that methanol extract (RYME) had excellent antioxida...

Dec 4 2019 32042713
A new isoflavonol and other constituents from Cameroonian propolis and evaluation of their anti-inflammatory, antifungal and antioxidant potential.

Propolis is rich in diverse bioactive compounds. Propolis samples were collected from three localities of Cameroon and used in the study. Column chrom...

Dec 2 2019 32489308
Interaction of apigenin-7-O-glucoside with pyrimethamine against growth.

Apigenin-7-O-glucoside, a flavonoid glucoside known to inhibit cancer cell growth, fungi growth, both intra and extracellular reactive oxygen species ...

Dec 2 2019 32174728
A Low-Cost Nanomaterial-based Electrochemical Immunosensor on Paper for High-Sensitivity Early Detection of Pancreatic Cancer.

Due to the lack of specific early detection methods for pancreatic cancer, it usually goes undetected until it is advanced. By employing paper-based e...

Dec 2 2019 32863588
Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control.

This paper proposes a unified theoretical framework to study the problem of finite/fixed-time drive-response anti-synchronization for a class of Marko...

Nov 28 2019 31812925
An agent-based lattice model for the emergence of anti-microbial resistance.

This work introduces a new probabilistic agent-based lattice model for studying the emergence of anti-microbial resistance (AMR) and proposes a new pr...

Nov 12 2019 31730771
Synthesis and Hypoglycemic and Anti-inflammatory Activity Screening of Novel Substituted 5-[Morpholino(Phenyl)Methyl]-Thiazolidine-2,4-Diones and Their Molecular Docking Studies.

OBJECTIVES: The aim was the synthesis of novel substituted 5-[morpholino(phenyl)methyl]-thiazolidine-2,4-diones and screening for their hypoglycemic ...

Nov 11 2019 32454740
Ultrasensitive Anti-Interference Voice Recognition by Bio-Inspired Skin-Attachable Self-Cleaning Acoustic Sensors.

Human voice recognition systems (VRSs) are a prerequisite for voice-controlled human-machine interfaces (HMIs). In order to avoid interference from un...

Nov 11 2019 31687810
Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selecti...

Nov 4 2019 31342661
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