Optimizing Clinical Trials through Informatics and AI/ML Innovations

Abstract

Clinical trials play a pivotal role in advancing medical knowledge and treatment options. However, the traditional approaches to conducting clinical trials are often resource-intensive, time-consuming, and subject to various challenges. This paper explores how informatics and Artificial Intelligence/Machine Learning (AI/ML) innovations are optimizing clinical trials. By leveraging data-driven approaches, informatics, and AI/ML technologies, clinical trial processes can be streamlined, patient recruitment can be enhanced, and trial outcomes can be more accurately predicted. This paper discusses key advancements, challenges, and future prospects of integrating informatics and AI/ML in clinical trial optimization.