Latest AI and machine learning research in lupus for healthcare professionals.
Human voice recognition systems (VRSs) are a prerequisite for voice-controlled human-machine interfa...
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can prov...
Age-related macular degeneration (AMD) is the leading cause of blindness in the western world. Intra...
The relationship between high levels of anti-Varicella Zoster Virus (VZV) IgG in cerebrospinal fluid...
The objective of this study was to increase the bioavailability of (IB) through fermentation with p...
In this study, the antioxidant, anti-xanthine oxidase, anti-melanogenic and anti-wrinkle effects of ...
Lactoferrin (LF) is a sialylated iron-binding glycoprotein, occurring in several biological secretio...
Ricin is a highly toxic type 2 ribosome-inactivating protein (RIP) which is extracted from the seeds...
Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...
Winemaking generates large amounts of by-products, a well recognized source of phenolic compounds. H...
The integration of gene expression data to predict systemic lupus erythematosus (SLE) disease activi...
Recent data indicate that up-to 30-40% of cancers can be prevented by dietary and lifestyle measures...
In systems biology, inference of functional associations among genes is compelling because the const...
A 34-year-old woman with history of surgical correction (Takeuchi procedure) of anomalous left coron...
Sorghum bicolor L. Moench is widely grown all over the world for food and feed. The effects of sor...
PURPOSE: Although many assays have been developed to detect anti-aquaporin-4 (AQP4) antibodies, most...
We propose a novel framework for classification of mitotic v/s non-mitotic cells in a Computer Aided...
Small-molecule compounds that have promising activity against macromolecular targets from occasiona...
The most prominent treatment for the serious cases of Crohn's disease (CD) are biological tumour nec...
This paper studies the fixed-time anti-synchronization (FTAS) of discontinuous reaction-diffusion ne...
This research provides a general methodology for distinguishing disaster-related anti-rumor spreader...