From the Guest Editors

Artificial intelligence (AI) and big data are rapidly transforming the landscape of health sciences, from clinical care and biomedical discovery to population health and public health policy.Advances in machine learning, large-scale data integration, and digital health technologies are enabling new approaches to diagnosis, treatment personalization, disease prevention, and healthcare delivery.At the same time, these technologies raise important questions regarding trust, equity, governance, and responsible innovation.This issue of the Delaware Journal of Public Health highlights emerging developments at the intersection of AI, robotics, data science, and health systems, bringing together perspectives from clinicians, computer scientists and engineers, public health researchers, and policy leaders.