Abstract

Clinical trials play a crucial role in the development of new medical treatments, ensuring their safety and efficacy before they reach patients. Over the years, significant advancements have been made in the field of clinical trials, revolutionizing the way research is conducted and accelerating the pace of scientific discovery. This article highlights some of the recent innovations and methodologies that are transforming the landscape of clinical trials is the integration of big data and artificial intelligence (AI) into clinical trial processes. With the increasing digitization of healthcare, vast amounts of patient data are now available for analysis. AI algorithms can efficiently sift through this data to identify patterns, predict patient outcomes, and optimize trial design. This integration enables researchers to make data-driven decisions, enhance patient recruitment strategies, and select more targeted populations for trials, thereby reducing costs and improving trial efficiency.