Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortium

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Abstract The parent grant has been building a truly unique database of MRI, clinical and cognitive data from over 65,000 individuals and 16 distinct studies. It has been constructing machine learning models and biomarkers aiming to capture the heterogeneity of brain aging and derive predictive models of cognitive decline. The current supplement will build the foundation for making these pipelines available very easily through cloud computing. More specifically, the focus of this supplement will be to build the infrastructure for a web-based portal running n the AWS cloud, which will allow for seamless “drag-and-drop” of MRIs for application of the pipelines developed by the parent program. This will facilitate the wide access of these pipelines without the need to set up local software and familiarize with complex preprocessing of MRI datasets and machine learning pipelines.