// App-Quantinova.ai

SAT0074 (2018) : Identification of a protein panel useful for the prediction of response to methotrexate in rheumatoid arthritis patients

Researchers

Presenter

  • C. Ruiz-Romero

Principal Investigators

  • F. Picchi

  • L. González-Rodríguez

  • P. Fernández-Puente

  • R. Hands

  • V. Calamia

  • M. Camacho-Encina

  • C. Bessant

  • C. Pitzalis

  • F.J. Blanco

Medical Centers

  • Unidad de Proteómica-ProteoRed/ISCIII, Grupo de Investigación en Reumatología, INIBIC – CHUAC, A Coruña

  • Centre for Endocrinology, Wiliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK

  • The School of Biological and Chemical Sciences Queen Mary University of London, London, UK

Locations

  • Spain

  • United Kingdom

Companies

  • N/A

Study Components

Therapeutic Area

  • Autoimmune (AI)

Disease

  • Rheumatoid arthritis

Biomarkers

  • N/A

Drug/Treatment

  • Methotrexate

Outcome

  • N/A


Study Design

  • Cohort

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A