Rheumatoid Arthritis

[Soil Cadmium Prediction and Health Risk Assessment of an Oasis on the Eastern Edge of the Tarim Basin Based on Feature Optimization and Machine Learning].

Soil heavy metal pollution poses a serious threat to food security, human health, and soil ecosystem...

Trust me if you can: a survey on reliability and interpretability of machine learning approaches for drug sensitivity prediction in cancer.

With the ever-increasing number of artificial intelligence (AI) systems, mitigating risks associated...

Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests.

Deep learning models are being adopted and applied across various critical medical tasks, yet they a...

From machine learning to clinical practice: phenotypic clusters of anti-MDA5 antibody-positive dermatomyositis.

Machine Learning Links T-cell Function and Spatial Localization to Neoadjuvant Immunotherapy and Clinical Outcome in Pancreatic Cancer.

Tumor molecular data sets are becoming increasingly complex, making it nearly impossible for humans ...

Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning.

INTRODUCTION: Instagram is a popular social networking platform for sharing photos with a large prop...

AgeAnnoMO: a knowledgebase of multi-omics annotation for animal aging.

Aging entails gradual functional decline influenced by interconnected factors. Multiple hallmarks pr...

USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPROACHES TO ENHANCE CANCER THERAPY AND DRUG DISCOVERY: A NARRATIVE REVIEW.

BACKGROUND: This paper looks at how AI and machine learning have been applied over the last ten year...

Artificial Intelligence Application for Anti-tumor Drug Synergy Prediction.

Currently, the main therapeutic methods for cancer include surgery, radiation therapy, and chemother...

PD-1 Targeted Antibody Discovery Using AI Protein Diffusion.

The programmed cell death protein 1 (PD-1, CD279) is an important therapeutic target in many oncolog...

In-silico prediction of anti-breast cancer activity of ginger (Zingiber officinale) using machine learning techniques.

INTRODUCTION: Indonesian civilization extensively uses traditional medicine to cure illnesses and pr...

[Experimental study of APB-DOCK8 transgenic tomato vaccine for caries prevention].

PURPOSE: To observe the anti-caries effect of transgenic tomato anti-caries vaccine after immunizati...

IgE anti-BP180 NC16A autoantibody in both serum and blister fluid samples does not correlate with disease activity of bullous pemphigoid.

The correlation between IgE anti-BP180 NC16A autoantibody and disease activity of bullous pemphigoid...

Elettaria cardamomum essential oil; immunomodulatory, antioxidant, and anti-inflammatory effects for controlling acute Toxoplasma gondii infection.

The present study was conducted to investigate the immunomodulatory and anti-inflammatory effects of...

Inhibition of choline kinase as an antiamoebic approach in Entamoeba histolytica infection.

Entamoeba histolytica is the parasite responsible for amoebiasis, which can result in amoebic coliti...

DOES GALLIC ACID HAVE A POTENTIAL REMEDIAL EFFECT IN EXPERIMENTAL CORROSIVE BURN INJURY TO THE ESOPHAGUS?

Gallic acid, acting as an antioxidant, anti-precipitant and cytoprotective agent, was used as a poss...

Moringa oleifera-mediated iron oxide nanoparticles, characterization and their anti-proliferative potential on MDA-MB 231 human breast cancer cells.

Iron oxide nanoparticles (FeO NPs) stabilized with Moringa oleifera (M.O.) were successfully synthes...

Biological activities of crude leaf extract and fractions of Scutellaria sibthorpii (Benth.) Halácsy: An endemic plant of North-Cyprus.

Scutellaria sibthorpii is used in treatment of bacterial infections, pains and inflammations. The le...

DETERMINATION OF THE PRA POSITIVITY PERCENTAGE IN MALE PATIENTS WITH CHRONIC KIDNEY DISEASE BY USING FLOW CYTOMETRY TECHNIQUE.

The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...

DDMut: predicting effects of mutations on protein stability using deep learning.

Understanding the effects of mutations on protein stability is crucial for variant interpretation an...

AcrNET: predicting anti-CRISPR with deep learning.

MOTIVATION: As an important group of proteins discovered in phages, anti-CRISPR inhibits the activit...