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        "event_title":"Department Seminar Series: Joe Hogan, Carole and Lawrence Sirovich Professor of Public Health,  Professor & Chair of Biostatistics, Department of Biostatistics & School of Public Health, Brown University",
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        "combined_title":"Department Seminar Series: Joe Hogan, Carole and Lawrence Sirovich Professor of Public Health,  Professor & Chair of Biostatistics, Department of Biostatistics & School of Public Health, Brown University: \u201cBayesian Decision Support for the HIV Care Cascade: Models, Implementation, Evaluation\u201d",
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        "description":"Successful implementation of antiretroviral treatment programs in sub-Saharan Africa has transformed HIV and AIDS from an emerging global health catastrophe to a manageable chronic condition. The HIV care cascade is a conceptual model describing key milestones in successful delivery of care and treatment for people living with HIV. These include diagnosis of HIV, linkage and retention in care, initiation of antiretroviral therapy, and suppression of viral load. Many care programs, such as AMPATH in western Kenya, have implemented electronic health records with point-of-care interface for visualizing patient records and entering data in real time. This has improved the ability of care providers to track outcomes and, where necessary, intervene to improve them.\r\nIn this talk we describe development and implementation of a Bayesian decision support module geared toward maximizing retention in care \u2013 a critically important component of the cascade. The goal of the project is to identify in advance those patients at high risk for missed visit, interruption in treatment, and loss to follow up. The project involves building and validating predictive models derived from an electronic health record system, embedding the models in the EHR back end to generate real-time predictions of missing a scheduled visit, and using the predictions to activate pre-visit outreach by clinic staff. Our model addresses several idiosyncrasies in the data, such as competing risks, discontinuous hazard functions, and missing predictors. We describe how to use the posterior predictive distribution to generate various types of insights, such as flagging patient-level features that explain risk classification and identifying optimal timing for the next appointment. We also show the implementation of the model at the point of care and describe our plans for evaluating the impact of the decision support process.\r\n\r\nThis is joint work with Arman Oganisian and Nick Lewis at Brown University, and Ann Mwangi at Moi University in Eldoret, Kenya.",
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        "event_title":"Fragel Friday",
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        "description":"We know you all have been patiently waiting and the time has come\u2026.FRAGEL FRIDAY IS BACK! Join the connect@michiganengineering program on the Grove THIS Friday, April 5th at 10 am to get your fragel fix whether it\u2019s freezing or flurrying.\r\n\r\nFor those who don\u2019t know, a fragel is a deep fried bagel coated in cinnamon sugar and it\u2019s also vegan.\r\n\r\nQuantities are limited! First-come, first-served.",
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        "event_title":"Improving Lives through Next Generation Infrastructure",
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        "combined_title":"Improving Lives through Next Generation Infrastructure: Bold Challenges Workshop",
        "event_subtitle":"Bold Challenges Workshop",
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        "description":"Bold Challenges Pollination Workshops bring together diverse researchers from all three U-M campuses to spark innovative solutions to complex societal problems. These events provide opportunities to ideate and collaborate around the 2024 Bold Challenges themes: \r\n\r\nAdvancing Human Health at Scale \r\nAdapting to Changing Environments\r\nCreating Sustainable Energy Innovations\r\nImproving Lives through Next Generation Infrastructure\r\nBuilding Trust and Strengthening Social Connections \r\nDuring the two-hour, in-person workshops, attendees will mix and match to meet potential collaborators and partners, brainstorm research problems and solutions, have opportunities to get advice from U-M experts on how to increase the probability of successful team development and grantseeking, and then take the next steps on a wide range of ideas.\r\n\r\nOne of these steps is to apply for Bold Challenges\u2019 Boost program, which offers research development consulting, project management support and up to $75,000 to advance research ideas. Boost applications for the 2024-2025 cohort are due on May 13.\r\nRegistration Link:",
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