Deep-learning algorithms to improve differentiation of breast abnormalities in mammography images. Health identifiers to prevent patient misidentification, enhance data security, improve patient safety, and lower health care costs. Research in labs dedicated to developing new, more effective techniques and technologies that forge new pathways to secure and comprehensive information for every member of the health care community.
An interdisciplinary approach to research, focusing on innovations that benefit society and the environment brings students and faculty together at the Institute of Computing and Cybersystems and Health Research Institute. CyberS, the Center for Cybersecurity, expands innovation in the field most crucial to Information Technology, from information security and biometrics to trusted software engineering. DataS, the Center for Data Sciences, unites diverse faculty and students to discover new knowledge in interdisciplinary collaboration. At the Center for Human-Centered Computing, Michigan Tech students learn to become future creators, finding the balance of computing, humanity, and interaction.