Clinical Trial Site

Clinical trial site selection and management are crucial for efficient and equitable clinical trials. Current research focuses on improving site selection algorithms that balance feasibility with patient diversity, leveraging machine learning techniques like federated learning and fair policy learning to address data privacy and bias. These advancements aim to enhance the generalizability of AI models trained on data from one site to others, improving the accuracy and reliability of trial results and ultimately accelerating the development of new treatments. Predictive modeling is also being developed to optimize patient recruitment and improve trial timelines.