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  • Kevin Trewartha and PhD Student Publish Article in Psychology and Aging

    Kevin Trewartha

    Doctoral student Alexandra Watral and Dr. Kevin Trewartha (CLS/ICC-HCC) are the authors of an article published in Psychology and Aging.

    The article is titled “Measuring Age Differences in Executive Control Using Rapid Motor Decisions in a Robotic Object Hit and Avoid Task.”

    This work was supported in part by National Institutes Health (NIH) grant, “Motor Learning as a Sensitive Behavioral Marker of Mild Cognitive Impairment and Early Alzheimer’s Disease,” awarded to principal investigator Kevin Trewartha.

    New Funding from the Federal Railroad Administration

    Pasi Lautala (CEGE/MTTI) is the principal investigator (PI) on a project that has received a $380,705 other sponsored activities contract from the Federal Railroad Administration.

    The project is titled “Railroad Crossing Vehicle Warning (RCVW) Application Demonstrations with Connected Vehicles.”

    Kuilin Zhang (CEGE/MTTI/ICC-CPS) and John Velat (CEGE/MTTI) are co-PIs on this potential two-year project.

    Hoda Hatoum to Present Biological Sciences Seminar September 16

    by Biological Sciences

    Hoda Hatoum (BioMed, ICC-BDH) will present Thursday (Sept. 16) at 3 p.m. as part of the Biological Sciences Seminar Series. The presentation will be held virtually on Zoom.

    From the abstract: Transcatheter aortic valve replacement (TAVR) is a non-invasive valve replacement therapy that has been recently FDA approved for low-risk patients. Despite the importance of this therapy, TAVR has been associated with several adverse effects and long-term adverse outcomes such as short durability and thrombus formation. Several clinical studies showed that the incidence of leaflet thrombosis (LT) post-TAVR ranges between 8 to 24% overall, with increasing incidences from 30 day to 1-year timepoints, which makes leaflet thrombosis a highly important concern. … The purpose of this study is to present a semi-empirical, mathematical model that links patient-specific anatomic, valve, and flow parameters to predict leaflet thrombosis. This tool will be essential in clinical pre-procedural planning. To this end, we used a combination of experimental, analytical, and computational fluid dynamic studies along with patient-specific data.