Dr. Rubin's research interest is imaging informatics - ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Just as biology has been revolutionized by online genetic data, now clinical medicine can be transformed by mining huge image repositories and electronically correlating image data with pathology and molecular data. Work in Dr. Rubin's lab thus lies at the intersection of biomedical informatics and imaging science, and they are working in several major areas. They are developing methods to extract information and meaning from images for data mining. We are also developing statistical natural language processing methods to extract and summarize information in radiology reports and published articles. They are building resources to integrate images with related clinical and molecular data to discover novel image biomarkers of disease. Finally, they are translating these methods into practice by creating decision support applications that relate radiology findings to diagnoses and that will improve diagnostic accuracy and clinical effectiveness.