Artificial intelligence (AI) is a transformative technology used in various industrial sectors
including healthcare. In pharmacy practice, AI has the potential to significantly improve …

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex
and debilitating illness with a significant global prevalence, affecting over 65 million …

Background Currently, more than forty discrimination formulae based on red blood cell
(RBC) parameters and some supervised machine learning algorithms (MLAs) have been …

Objectives The emergence of artificial intelligence (AI) is catching the interest of hospital
pharmacists. A massive collection of health data is now available to train AI models and hold …

A large amount of patient harm is preventable with timely and accurate detection of adverse
drug events (ADEs). The ability to identify these events has been a challenge due to the …

The optimization of drug properties in the process of cancer drug development is very
important to save research and development time and cost. In order to make the anti-breast …

A drug is a substance or mixture of materials to be used in determining the diagnosis,
preventing, reducing, eliminating, curing disease or symptoms of disease, bodily or spiritual …

Misleading in determining the decision to use the target drug will be fatal, even to death.
This study examines five pharmacological targets designated as types A, B, C, X, and Y …

Objectives To establish a clinical application monitoring system for proton pump inhibitors
(PPI-MS) and to enhance the detection and intervention of inappropriate PPI use in adult …

Introduction: Medication errors are a worldwide public health issue. Reducing inappropriate
medication use is a challenge that clinical pharmacists face in their daily practice …