Emily Lanzel, clinical assistant professor in the Department of Oral Pathology, Radiology, and Medicine, is working with researchers at the University of Chicago, to build a cohort of digital pathology slides. These digital slides are taken from patients with head and neck cancers, and they can be used by machine learning algorithms to predict histological features, mutations, and/or other clinical outcomes. This project is an inter-institutional, collaborative project that includes both the University of Chicago and the University of Iowa College of Dentistry and is funded by the National Institutes of Health. Each institution is providing diagnostic slides of oral cavity epithelial dysplasia cases along with follow-up data regarding whether the dysplasia did or did not progress to cancer. The aim of the project is to use these slides to train and improve the machine learning algorithm.