Unbiased Biomarkers for the Predicition of Respiratory Disease Outcomes (U-Biopred)

01 October 2009 → 30 September 2015
European funding: various
Research disciplines
  • Natural sciences
    • Evolutionary biology
    • General biology
  • Medical and health sciences
    • Social medical sciences
prediction asthma
Project description

The inability of pre-clinical studies to predict clinical efficacy is a major bottleneck in drug development. In severe asthma this bottleneck results from: a lack of useful and validated biomarkers, underperforming pre-clinical models, inadequate and incomplete sub-phenotyping, and insufficient disease understanding. The use of biomarker profiles comprised of various types of high-dimensional data, integrated with an innovative systems biology approach into distinct phenotype handprints, will enable significantly better prediction of therapeutic efficacy than single or even clustered biomarkers of one data type and will identify novel targets.