The University of Pennsylvania received a $3.2 million Project Grant award from the National Institute on Aging to develop artificial intelligence strategies for Alzheimer's disease research. The five-year award, made under the Aging Research program (CFDA 93.866), will support the creation of three novel biomedical informatics methods tailored for analyzing large-scale Alzheimer's disease data using the PennAI software platform. Specifically, the University will develop a multi-modal interaction feature selection algorithm, a knowledge-driven multi-omics integration algorithm, and a multidimensional brain imaging omics integration framework. These PennAI modules aim to reveal new biomarkers for Alzheimer's by automating machine learning on clinical, genetic, imaging and other data from large population-based studies. The integrated software is expected to advance understanding of Alzheimer's disease pathogenesis and inform improved clinical decision support and treatments.
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