Latest AI and machine learning research in rheumatoid arthritis for healthcare professionals.
BACKGROUND: In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate estimation o...
Changes in gene expression cause uncontrolled cell proliferation and consequently tumor hypoxia. The...
We present a neural network model for familiarity recognition of different types of images in the pe...
Anti-PD-1 immunotherapy has recently shown tremendous success for the treatment of several aggressiv...
Some futurists and philosophers have urged that recent developments in biotechnology promise advance...
In this study, the seasonal dynamics of the flavonoids in the cones and leaves of oriental ( L. Fra...
Clove oil has many functions such as antibacterial, anti-inflammatory, anti-oxidation. In this exper...
Tuberculosis (TB), an infectious disease caused by (), is an important public health issue. Current...
Drug-drug interactions account for up to 30% of adverse drug reactions. Increasing prevalence of ele...
OBJECTIVE: Anti-programmed death (PD)-1 therapy confers sustainable clinical benefits for patients w...
Non-steroidal anti-inflammatory drugs (NSAIDs) are widely prescribed for the treatment of various ty...
Fleroxacin (FLE) is a broad-spectrum fluoroquinolone antibiotic widely used in animal husbandry, vet...
Procalcitonin (PCT) ( a precursor of calcitonin) attracts much attention as a reliable biomarker of ...
We have designed and developed an effective drug delivery system using biocompatible polymer of poly...
Tuberculosis (TB) is an infectious disease and the leading cause of death globally. The rapidly emer...
The antimicrobial nature of silk-fibroin (SF) is reported but antioxidant potential and the immunom...
De-oiled rice bran (DORB) is a potentially useful by-product of the rice bran oil industry. DORB may...
The majority of anti-cancer drugs fail to reach clinical trials due to their low water solubility. A...
In recent years, deep eutectic solvent (DES) has attracted comprehensive attention on the extraction...
We introduce the novel concept of anti-transfer learning for speech processing with convolutional ne...
To develop a machine learning (ML) model that predicts disease groups or autoantibodies in patients ...