This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

The integration of artificial intelligence (AI) in patient pain medicine education has the
potential to revolutionize pain management. By harnessing the power of AI, patient …

Importance: Artificial intelligence (AI) applications in health care have been effective in many
areas of medicine, but they are often trained for a single task using labeled data, making …

Hardly a day passes without one reading about the prophecies of artificial intelligence (AI).
AI has been defined as 'the part of computer science concerned with designing systems that …

Pharmacovigilance plays a central role in safeguarding public health by continuously
monitoring the safety of vaccines, being critical in a climate of vaccine hesitancy, where …

Integrating Artificial Intelligence [AI] into mathematics education offers promising
advancements and potential pitfalls. Striking a balance between AI-driven developments …

Introduction While pharmaceutical companies aim to leverage real-world data (RWD) to
bridge the gap between clinical drug development and real-world patient outcomes, extant …

Objectives Pharmacovigilance databases play a critical role in monitoring drug safety. The
duplication of reports in pharmacovigilance databases, however, undermines their data …

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In recent years there has been growing interest in the use of machine learning across the
pharmacovigilance lifecycle to enhance safety monitoring of drugs and vaccines. Here we …