Recent breakthroughs in artificial intelligence (AI) and machine learning (ML) have ushered
in a new era of possibilities across various scientific domains. One area where these …

Pharmacokinetics and pharmacodynamics can provide a useful modeling framework for
predicting drug activity and can serve as a basis for dose optimization. Determining a …

Background The aims of this study were to investigate the effectiveness, safety,
pharmacokinetics, and pharmacodynamics of microemulsion propofol, Aquafol™(Daewon …

Background: The purpose of this study was to evaluate a new, physiologically inspired
method for the analysis of the electroencephalogram during propofol–remifentanil …

This study compared the blood concentrations of remifentanil obtained in a previous clinical
investigation with the predicted remifentanil concentrations produced by different …

BACKGROUND: The increasing demand for anesthetic procedures in the gastrointestinal
endoscopy area has not been followed by a similar increase in the methods to provide and …

Artificial intelligence (AI) is a vast multidisciplinary field which equip machines with cognitive
powers like ability to perceive reason, learn, abstract, and act. Machine learning (ML) and …

Purpose: The application of artificial neural networks in the pharmaceutical sciences is
broad, ranging from drug discovery to clinical pharmacy. In this study, we explored the …

Background and purpose: Microemulsion propofol was developed to eliminate lipid solvent‐
related adverse events of long‐chain triglyceride emulsion (LCT) propofol. We compared …

Objectives Over the past few decades, mathematical modelling and simulation of drug
delivery systems has been steadily gained interest as a focus for academic and industrial …