MAR 19, 2014 10:00 AM PDT

MS Bioscreen: From the Bedside to the Bench and Back

Presented At Neuroscience
  • Assistant Adjunct Professor of Neurology, University of California, San Francisco
      Pierre-Antoine Gourraud is a former student of the Ecole Normale Suprieure de Lyon in France. After receiving an M.P.H. from University Paris XIII in 2002, he got his Ph.D. in Immunogenetic Epidemiology and Public Health from Toulouse University in 2005. He relocated to the United States to do his postdoctoral research in Neuroimmunogenetics of multiple sclerosis at UCSF in 2009 and joined the UCSF faculty in 2011. Dr Gourraud has established numerous research collaborations with investigators from all over the world: He develops bioinformatics resources at the National Center for Biotechnology Information (Immunogenetics markers: HLA, KIR, Microsatellites). At UCSF, he performs new generation of MS genetic association studies using massive sequencing technologies in various genetic ancestry backgrounds and continues developing software dedicated to translational digital medicine. His recent efforts have focused on the MS Bioscreen, a tablet-based navigation-system that integrates multiple dimensions of patient information including clinical evolution, therapeutic treatments, brain imaging, genomics and biomarker data.


    We present a personalized medicine suite of software applications developed at UCSF for multiple sclerosis (MS): the MS Bioscreen. This new tool addresses the challenges of the dynamic management of complex chronic diseases such as MS; the interaction of physicians and patients with such a tool illustrates the extent to which translational digital medicine i.e. the application of information technology to medicinehas the potential to radically transform medical practice. It integrates clinical data including MRI brain imaging and research data with immunological and genetic biomarkers such as SNPs associated with MS risk and HLA-DRB1*15:01 status. With the development of the MS Bioscreen we introduce three key evolutionary phases in displaying the data to health care providers, patients, and researchers: visualization (accessing data), contextualization (understanding the data), and actionable interpretation (real-time use of the data to support decision-making). Together these features form the stepping-stones that are expected to accelerate standardization of data across platforms, promote evidence-based medicine, and lead to improved patient outcomes.

    Show Resources
    Loading Comments...