This federal Project Grant award from the National Institute on Aging (CFDA 93.866 Aging Research) provides $2,340,263 to Emory University to develop and validate machine learning models that can predict post-stroke cognitive impairment (PSCI) using routine clinical and imaging data from acute stroke encounters. The project aims to: 1) learn to predict PSCI using large retrospective clinical cohorts, 2) adapt and validate the models using prospective data, and 3) characterize PSCI with cognitive tests, physiological, and biological metrics one year post-stroke. This work has the potential to optimize stroke recovery and recurrent stroke prevention strategies by identifying high-risk patients. The University of Kansas Medical Center Research Institute is a sub-awardee and will contribute to the project's research activities.
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