Funding for Multi-Modal Imaging and Machine Learning to Predict AD

Johnson and Singh together with Rick Chappell, Maritza Dowling, and Cindy Carlsson received a 3 year grant to start in January 2012 from the Wisconsin Partnership Program to study machine learning methods for better prediction of AD. The goal is to study MCI and asymptomatic people at risk for AD with multimodal prediction methods. This research is significant because it will provide tools for better prediction using all available information; the project will also improve clinical trial designs by reducing sample sizes needed to determine whether a drug has efficacy allowing drug discovery to occur quicker and at less cost. The team area all investigators in the Wisconsin ADRC.