// App-Quantinova.ai

LB312 : Clinical And Demographic Features Predict The Response To A Digital Treatment Designed To Improve Processing Speed In People With Multiple Sclerosis

Researchers

Presenter

  • W. Rowles

Principal Investigators

  • C. Zhao

  • A. Anderson

  • S. Friedman

  • D. Langdon

  • A. M. Alexander

  • S. Sacco

  • R. Henry

  • A. Gazzaley

  • A. Feinstein

  • J. Anguera

  • R. Bove

Medical Centers

  • University of California, San Francisco, San Francisco, CA

  • 4Royal Holloway University of London Egham United Kingdom

  • University of Toronto, Toronto, ON, Canada

Locations

  • United States

  • United Kingdom

  • Canada

Companies

  • N/A

Study Components

Therapeutic Area

  • Central Nervous System (CNS)

Disease

  • Multiple Sclerosis

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Randomized

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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