FROM PILOT TO A MULTI-SITE TRIAL: REFINING THE EARLY DETECTION OF DETERIORATION IN ELDERLY RESIDENTS (EDDIE +) INTERVENTION

From pilot to a multi-site trial: refining the Early Detection of Deterioration in Elderly Residents (EDDIE +) intervention

Abstract Background Early Detection of Deterioration in Elderly Residents (EDDIE +) is a multi-modal intervention focused on empowering nursing and personal care workers to Bass Guitars identify and proactively manage deterioration of residents living in residential aged care (RAC) homes.Building on successful pilot trials conducted between 2014 an

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Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units

We propose a deep learning based framework that learns data-driven temporal Power Boards priors to perform 3D human pose estimation from six body worn Magnetic Inertial Measurement units sensors.Our work estimates 3D human pose with associated uncertainty from sparse body worn sensors.We derive and implement a 3D angle representation that eliminate

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Pointwise mutual information quantifies intratumor heterogeneity in tissue sections labeled with multiple fluorescent biomarkers

Background: Measures Power Boards of spatial intratumor heterogeneity are potentially important diagnostic biomarkers for cancer progression, proliferation, and response to therapy.Spatial relationships among cells including cancer and stromal cells in the tumor microenvironment (TME) are key contributors to heterogeneity.Methods: We demonstrate ho

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