Latest AI and machine learning research in lupus for healthcare professionals.
Neural network models of early sensory processing typically reduce the dimensionality of streaming i...
Machine learning techniques have been widely used in drug discovery and development in the areas of ...
There is a growing need to identify new, broad-spectrum antibiotics. The natural product spergualin ...
BACKGROUND: The objective of this study was to investigate whether an anti-spasticity medication can...
The evaluation of the leishmanicidal and trypanocidal activity of the hydroalcoholic extract of the ...
Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one ...
Postinflammatory hyperpigmentation (PIH) is an acquire hypermelanosis after cutaneous inflammation a...
Putatively functional polymorphisms of one-carbon and xenobiotic metabolic pathways influence suscep...
Nonsteroidal anti-inflammatory drugs are the most used anti-inflammatory medicines in the world. Sid...
Candida albicans has become resistant to the commercially available, toxic, and expensive anti-Candi...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...
Liver sinusoidal endothelial cells (LSECs) are increasingly recognized as a critical yet underexplor...
1. Classifying animal movement strategies from GPS tracking data is essential for understanding spac...
Drug repurposing offers a cost-effective strategy to accelerate therapeutic discovery, but most comp...
Lupus nephritis (LN), a severe manifestation of systemic lupus erythematosus (SLE), features heterog...
Objectives This study aimed to develop and validate machine learning models to predict in-hospital m...
The rapid growth of molecular foundation models and general-purpose large language models has encour...
The molecular characterization of human solid growths has introduced immense genomic complexity and ...
Metabolic dysfunction is increasingly recognized as a risk factor for poor outcomes in breast cancer...
Anti-doping programs rely on biological testing to detect performance-enhancing drugs, but such test...
Adaptive medical AI models often face performance drops in dynamic clinical environments due to data...