Rheumatology

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

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Alendronate/Vitamin D for attenuating bone mineral density loss during antiretroviral initiation: a pilot randomized controlled trial.

Antiretroviral therapy (ART) initiation is associated with decreases in bone mineral density (BMD)....

Anti-Microbial Potential of Nano-Emulsion form of Essential Oil Obtained from Aerial Parts of L. as Food Additive.

Foodborne diseases are still a serious problem in public health and natural compounds are being wid...

An Information Entropy-Based Approach for Computationally Identifying Histone Lysine Butyrylation.

Butyrylation plays a crucial role in the cellular processes. Due to limit of techniques, it is a cha...

Prediction of Contact Residues in Anti-HIV Neutralizing Antibody by Deep Learning.

The monoclonal antibody 1C10 targets the V3 loop of HIV-1 and neutralizes a broad range of clade B v...

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 ...

Digging Deeper to Save the Old Anti-tuberculosis Target: D-Alanine-D-Alanine Ligase With a Novel Inhibitor, IMB-0283.

The emergence of drug-resistant (Mtb) has hampered treatments for tuberculosis, which consequently ...

A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method.

BACKGROUND AND OBJECTIVE: The interrupted time-series (ITS) concept is performed using linear regres...

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

The apicomplexan parasite () causes toxoplasmosis in humans. Pyrimethamine and sulfadiazine that ar...

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 ...

Membranous Nephropathy with Rapid Progression.

We report a 49-year-old man with microscopic hematuria, subnephrotic proteinuria, and rapidly progre...

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....

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 ...

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 ...

Usefulness of a deep learning system for diagnosing Sjögren's syndrome using ultrasonography images.

OBJECTIVES: We evaluated the diagnostic performance of a deep learning system for the detection of S...

Toxicity and Anti-promastigote Activity of Benzoxazinoid Analogs Against and .

Here, we aim to evaluate the antileishmanial activity of compounds with a benzoxazinoid (BX) skelet...

Synthesis and biological characterization of MnZnEuDyFeO nanoparticles by sonochemical approach.

Metallic nanoparticles (NPs) possess unique properties which makes them attractive candidates for va...

Deep segmentation leverages geometric pose estimation in computer-aided total knee arthroplasty.

Knee arthritis is a common joint disease that usually requires a total knee arthroplasty. There are ...

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