Areas of emphasis include, but are not limited to, computational medicine, artificial intelligence (AI) and machine learning (ML) in healthcare and medicine, clinical informatics, digital health innovation, biomedical data science and data-driven implementation science, particularly as applied to complex diseases such as diabetes, cancer, and other chronic health conditions. The Department of Biomedical Informatics aims to provide leadership in the development, evaluation and application of computational and data-driven approaches to improve healthcare quality, safety, efficiency and outcomes, including applications addressing major public health and biomedical challenges such as diabetes, cancer, and other chronic health conditions.