Zuckerberg San Francisco General Hospital, with Sutro Tower visible in the background

Funding

We are funded through a variety of research grants from the NIH, DoD, DARPA, DoE, NIDILRR, the VA, Wings for Life Foundation, Craig H. Neilsen Foundation, and other non-profit foundations.

  • R01: Maladaptive Plasticity in Spinal Cord Injury: Cellular Mechanisms
  • R01: Dopamine Modulation for the Treatment of Chronic Dysfunction Due to Traumatic Brain Injury
  • R01The Primate Corticospinal Connectome and Transcriptome
  • R01: Bioinformatics for post-traumatic stress
  • U24: Pan-Neurotrauma Data Commons
  • U24: Enhancing the Pan-Neurotrauma Data Commons (PANORAUMA) to a complete open data science tool by FAIR APIs
  • UH3: Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)
  • U19UCSF Core Center for Patient-centric Mechanistic Phenotyping in Chronic Low Back Pain (UCSF REACH)
  • Wings for Life: Elevating SCI Translation: Combining Literature-sourced Informatics, Meta-science, Bioinformatics Evidence Research (CLIMBER)
  • Wings for Life/Craig H. Neilsen Foundation/ISRT prime: Facilitating SCI Research, Translation, and Transparency: Going Public with the Open Data Commons
  • DoD:
    • Tele-psychology Intervention for Individuals with Spinal Cord Injury and Depression
    • Transforming Research Clinical Knowledge in Spinal Cord Injury: TRACK-SCI
    • Advancing Artificial Intelligence (AI) Toward Precision Medicine in Traumatic Brain Injury: A Proposed Collaboration by the US Department of Health Affairs (DHA), US Department of Energy (DoE), TRACK-TBI, and the CARE Consortium
    • Using Big-Data and Machine Learning Approaches to Discover Prognostic Biomarkers and Drugs for Neuropathic Pain in Chronic SCI
  • VA:
    • Harnessing big-data for plasticity and rehabilitation in translational SCI
    • Leveraging Data Science for Discovery in Chronic TBI
    • PRECISE-TBI: PRE Clinical Interagency research resourcE-TBI
    • BCCMA: Predicting TBI Pathology with Visual and Blood-based Biomarkers