Adam Ferguson, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco General Hospital, San Francisco, USA

Harnessing SCI Big-data to Accelerate Translation

Funded in: 2014, 2015, 2016


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Problem: Few studies examine the holistic impact of therapies across the full multifaceted syndrome of SCI.

Target: A large, multi-center, multi-species data repository of basic and clinical SCI research data providing an unprecedented opportunity to glean novel discoveries from shared big-data in SCI

Goal: Accelerated translation of scientific discoveries into clinical care for SCI patients

Like many diseases of the central nervous system, SCI impacts multiple aspects of function including motor, sensory, autonomic, bladder, bowel, sexual function, and even the skeletal, cardiovascular and the immune systems. Although research has identified therapies that target specific aspects of SCI dysfunction, there have been relatively few studies examining the holistic impact of therapies across the full multifaceted syndrome of SCI. This fundamentally represents a ‘big-data’ problem: There has not been a mechanism for SCI scientists and physicians to combine data from multiple sources to fuel innovation through knowledge-discovery.

 (PLoS ONE 8(3): e59712. doi:10.1371/journal.pone.0059712)
© PLoS ONE 8(3): e59712. doi:10.1371/journal.pone.0059712

The team at UCSF-BASIC has built a large, multi-center, multi-species data repository of basic and clinical SCI research data, providing an unprecedented opportunity to glean novel discoveries from shared big-data in SCI. For the Wings for Life project, the team will bring together expertise from SCI basic scientists, clinical researchers, and Silicon-Valley data scientists from Ayasdi analytics to develop innovative methods to mine SCI big-data with the goal of accelerating translation of scientific discoveries into clinical care for SCI patients.