Latest AI and machine learning research in rheumatoid arthritis for healthcare professionals.
BACKGROUND: Few models to predict antiviral response of peginterferon were used in hepatitis B e ant...
No anti-cocaine addiction drugs have been approved by the Food and Drug Administration despite decad...
The aim of this study was to evaluate the antioxidant and anti-proliferative activity of different f...
The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task ...
The study is aimed to investigate the protective effect and potential mechanisms of sodium butyrate ...
S4A ((1,2,3)-1,2-propanediol acetal-zeylenone) is one of the derivatives of zeylenone and exhibits s...
Various intelligent technologies have been applied during COVID-19, which has become a worldwide pub...
Banks and financial institutions are vulnerable to money laundering (ML) as a result of crime proce...
Cancer immunotherapy provides durable clinical benefit in only a small fraction of patients, and ide...
The diversification of the characteristic sequences of anti-cancer peptides has imposed difficulties...
Leishmaniasis is a disease that represents a serious global health problem with a potentially fatal ...
Anti-parasitic peptides (APPs) have been regarded as promising therapeutic candidate drugs against p...
Our aim was to investigate the usefulness of machine learning approaches on linked administrative he...
Drug repurposing or repositioning has been well-known to refer to the therapeutic applications of a ...
Obesity is associated with chronic inflammation, intestinal dysbiosis, and colorectal cancer risk. T...
We report the ability of two deep learning-based decision systems to stratify non-small cell lung ca...
Quorum sensing is a well-known term for describing bacterial cell-cell communication. Bacteria use q...
Fast and simple detection of C-reactive protein (CRP) is highly significant for the diagnosis and pr...
BACKGROUND: In aged skin, reactive oxygen species (ROS) induces degradation of the extracellular mat...
The development of deep learning provides a new research method for fault diagnosis. However, in the...
OBJECTIVE: The role of deep learning-based echocardiography in the diagnosis and evaluation of the e...