Drug‐related adverse reactions are among the main reasons for harm to patients under care
worldwide and even their deaths. The pharmacovigilance system has been proven to be an …

Monitoring drug safety is a central concern throughout the drug life cycle. Information about
toxicity and adverse events is generated at every stage of this life cycle, and stakeholders …

This research study explores the potential of leveraging the FDA Adverse Event Reporting
System (FAERS), combined with big data analytics and machine learning techniques, to …

Abstract Aim/Introduction The recent adverse reactions associated with semaglutide have
led the Food and Drug Administration (FDA) to issue a “black box warning”, and it is …

The last two decades have witnessed an extraordinary evolution of automation and artificial
intelligence (AI), which has become an integral part of our daily lives. Lately, AI has also …

This chapter provides comprehensive information on aggregate reporting (AR) methods
employed in the context of literary analysis. It reconnoiters the fundamental concepts …

This article investigates the use of artificial intelligence (AI) in pharmacovigilance, the
process of monitoring and evaluating the safety of medications. The use of AI in …

Muito antes da Era Cristã, o homem já utilizava algumas plantas para fins medicinais,
principalmente aquelas com atividades psicoativas, como a papoula (Papaver …

Automation promises to be a game-change for pharmacovigilance decreasing the cost of
case reporting and improving data quality to truly add value, including signal detection in …

The current research aims to provide a detailed perception about social media as one of the
electronic promotion tools in achieving pharmacovigilance. Thus, the research sample was …