University of Virginia

Join us as we celebrate our iTHRIV scholars at the 4th Annual iTHRIV Scholars Clinical Translational Research Symposium on October 19 at 1 PM. Each year, the symposium includes a keynote address from Elizabeth O. Ofili, MD, MPH, FACC, an information session for prospective scholars, and research lightning talks from our current cohort and recent graduates. This year’s event will be virtual and

Applications are still open! We will be accepting applicants on a rolling basis with final applications due by 11:59PM ET, January 31, 2022 The University of Virginia is organizing a Biomedical Data Science Innovation Lab to foster the development of new interdisciplinary teams via a facilitated and mentored format to tackle data science challenges arising from the use of large-scale neuroscience

iTHRIV is pleased to be a sponsor of the 2021-2022 Biomedical Data Science Innovation Lab (BDSIL). This year's topic is Ethical Challenges of Artificial Intelligence (AI) in Biomedicine. This BDSIL will promote collaboration between quantitative and biomedical researchers towards the development of novel or significantly adapted models, methods, and approaches for overcoming difficult ethical

Jonathan Brammer, MD will present "Targeting Interleukin-15 (IL-15) in T-cell Large Granular Lymphocytic Leukemia" for his CTSA Visiting Scholar Lecture.

The dendritic (input) and axonal (output) arbors of neurons are extremely diverse, affecting both signal processing and activity propagation throughout the network. We will present a framework conceptually and quantitatively linking neuron morphology and circuit connectivity using the hippocampal formation as a practical example. This approach provides a comprehensive yet compact neuronal

Neuroimaging meta-analysis offers the opportunity to examine consensus and reproducibility across published studies and translate this knowledge into improved neurocognitive models. Here, I will review the development of neuroimaging meta-analysis methods and provide a review of applications from across multiple cognitive and clinical domains. Advanced meta-analytic approaches will be described

Transcriptional regulation plays a critical role in many biological processes including cell development and cancer formation. Identification of active enhancers and transcription factors responsible for regulating gene expression is an essential problem in functional genomics. With novel integrative modeling approaches, massive publicly available multi-omics data can be a useful resource for gene

The focus of neuroimaging studies has slowly shifted from mapping specialized systems common to healthy individuals, to understanding how individual variability in these systems allows for the rich phenotypic differences in our population. As individual difference approaches have become more common, concern about reliability of findings has emerged in the field. In order to appropriately leverage

Given the intrinsically large and complex data sets collected in neuroimaging research, coupled with the extensive array of shared data and tools amassed in the research community, ReproNim seeks to lower the barriers for efficient: use of data; description of data and process; use of standards and best practices; sharing; and subsequent reuse of the collective ‘big’ data. Aggregation of data and

This talk will present the pillars and rationale of Open Big Neuroscience, present the important characteristics of Big Biomedical Data and challenges with sharing sensitive information. The DataSifter technique for novel statistical obfuscation of sensitive will be demonstrated. Some case-studies illustrating applications to Neurodegenerative Disease, Autism Brain Imaging Data Exchange, and

The Foundations of Biomedical Data Science virtual seminar series is an exciting and topical set of regularly scheduled, weekly, webinar presentations covering the basics of data management, representation, computation, statistical inference, data modeling, & other topics relevant to “big data” biomedicine. The seminar series provides fundamental topic introductions suitable for individuals at all

Dr. Petzinger's work focuses on understanding how to promote brain repair after injury, particularly in the context of Parkinson's disease. The focus of this talk will be to review mechanisms of exercise induced neuroplasticity in a rodent model of Parkinson's disease and to examine exercise effects on cognition and motor performance in Parkinson's disease. Speaker Bio: Dr. Giselle Petzinger is an

You are invited to join us on January 8th, 2021, 9am Pacific/12pm Eastern, for the first online presentation of 2021 in the Foundations of Biomedical Data Science Seminar Series! Our featured speakers will be Dr. Karen Johnston and Johanna Loomba from University of Virginia discussing "Introduction to Use of Structured Medical Record Data." Abstract: Electronic medical record (EMR) data is encoded

Challenges in Brain Analytics and Integration A hybrid event with four virtual microlabs and a five-day residential workshop focused on neuroscientific analytics and integration for quantitative and biomedical researchers. Five virtual sessions: October 2, 2020, April 16, 2021, May 21, 2021, June 11, 2021, 12-2pm ET A five-day residential workshop for neuroscientific quantitative and biomedical