Objective: To co-design artificial intelligence (AI)-based clinical informatics workflows to routinely analyse patient-reported experience measures (PREMs) in hospitals.
Methods: The context was public hospitals (n=114) and health services (n=16) in a large state in Australia serving a population of ~5 million. We conducted a participatory action research study with multidisciplinary healthcare professionals, managers, data analysts, consumer representatives and industry professionals (n=16) across three phases: (1) defining the problem, (2) current workflow and co-designing a future workflow and (3) developing proof-of-concept AI-based workflows.
Immunotherapy has demonstrated promise as a treatment for acute myeloid leukemia (AML). However, there is still an urgent need to identify new molecules that inhibit the immune response to AML. Most prior research in this area has focused on protein-protein interaction interfaces.
View Article and Find Full Text PDFCoral reefs are being degraded at alarming rates and decisive intervention actions are urgently needed. One such intervention is coral cryopreservation. Although the cryopreservation of coral sperm and larvae has been achieved, preservation of coral fragments including both its tissue and skeleton, has not.
View Article and Find Full Text PDFShortly after the first case of SARS-CoV-2 was diagnosed a public health emergency (PHE) was declared and a multi-agency response was initiated within the US federal government to create and propagate testing capacity. As part of this response, an unprecedented program designated Rapid Acceleration of Diagnostics (RADx) Tech was established by the National Institutes of Health (NIH) to facilitate the development of point-of-care tests for the COVID-19. The RADx Tech Clinical Studies Core (CSC), located at the University of Massachusetts Chan Medical School (UMass Chan), with partnering academic, private, and non-governmental organizations around the country, was tasked with developing clinical studies to support this work.
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