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Adolescent Health Network allows faculty to partner with teens interested in science on research studies and proposals geared at adolescent populations
Penn State Clinical and Translational Science Institute (CTSI) is leading rural health equity efforts in our region. Ninety-five percent of Pennsylvanians live within 30 minutes of a Penn State Commonwealth Campus. Given that Pennsylvania is the fifth most populous state, this offers a unique opportunity to impact the Pennsylvania community to address rural health disparities. Rural health
Join us for the next Translational Science Seminar (TSS), “Tools and Tips for Building and Retaining Top Talent” on Wednesday, August 24, 2022, from noon-1 p.m. In this seminar, Erica Francis, administrative director for Penn State Clinical and Translational Science Institute, and Ellie Hogentogler, director of Programs and Outreach for Project ECHO at Penn State College of Medicine, will share
Join us for the next Translational Science Seminar (TSS), “Implementation Science Collaborative (ISC): Advancing Health Equity Through Implementation Science” on Tuesday, July 19, 2022, from noon to 1 p.m. In this seminar, William Calo, PhD, assistant professor of public health sciences, will describe the Implementation Science Collaborative (ISC). The ISC aims to build the needed infrastructure
In this seminar, Mary Frecker, PhD, and Greg Lewis, PhD, director and associate director of Penn State Center for Biodevices, will describe the Center’s approach toward fostering multidisciplinary research collaborations and the recommendations of a University-wide panel they have hosted on this topic. This seminar is for researchers interested in learning about cross-campus interdisciplinary
Penn State Clinical and Translational Science Institute will present the workshop “Modeling Heterogeneous Time-Dependent Processes with Gimme and multi-VAR” There are many open questions on how best to analyze multivariate time series arising from multiple subjects. In this workshop, we will present two frameworks for modeling heterogeneous time-dependent processes, GIMME and multi-VAR. We will