Artificial intelligence (AI) is increasingly being integrated into clinical research, a field where the quest for new treatments and a deeper understanding of diseases is a constant endeavor. This integration aims to address some of the long-standing challenges in clinical trial design, execution, and analysis, ultimately striving to accelerate the delivery of safe and effective therapies to patients. The complex nature of biological systems and the vast amounts of data generated in research demand sophisticated tools, and AI offers a powerful set of capabilities to navigate this complexity.
AI in clinical research is not a monolithic entity but rather a collection of diverse technologies that can perform tasks typically requiring human intelligence. These technologies, at their core, are designed to learn from data, identify patterns, and make predictions or decisions. For instance, machine learning (ML) algorithms, a subset of AI,
