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    University of Skövde, link to startpage
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      SMARTDIAGNOS - rapid detection of sepsis

      Research Group Infection Biology Resarch Environment Systems Biology

      SMARTDIAGNOS - rapid detection of sepsis

      Research Group Infection Biology
      Resarch Environment Systems Biology

      Quick Facts

      Full project name

      SMARTDIAGNOS, new technology for faster diagnosis of sepsis

      Duration

      February 2016 – January 2020

      Partners

      Unilabs (Sweden), TATAA Biocenter (Sweden), Danish Technical University, DTU (Denmark), Scandinavian Micro Biodevices, SMB (Denmark), Copenhagen Business School, CBS (Denmark), Deutsches Institut für Normung, DIN (Germany), CubeDx GmbH (Austria), Danube University Krems (Austria), Charles University Prague (Czech Republic).

      Financing

      EU Horizon 2020 research and innovation programme under grant agreement No. 687697

      Sepsis is a potentially fatal immune response to bacterial- and fungal infection in the human body. Early diagnosis is crucial.

      SMARTDIAGNOS will achieve 1-3 hours diagnosis time by multiplex technology, decreasing morbidity and mortality up to 20%. The SMARTDIAGNOS project will advance sepsis diagnosis by simplifying clinical sample analysis methods and integrating the currently required numerous steps into a single streamlined device. The system will go beyond the state of the art and achieve shorter time, higher sensitivity (95%), higher selectivity (99%), multiplexing capacity, antimicrobial resistance profiling and automation. 

      Fast and correct sepsis diagnosis will improve patient outcome and shorten intensive care stays, thus reducing health costs.

      Poster

      Kickoff February 2016


      Group picture from the kickoff 2016

      For more information

      Financed by

      This project is financed by EU Horizon 2020 research and innovation programme under grant agreement No. 687697

      Project Leaders

      Senior Lecturer in Bioscience

      Avd.chef/Lektor systembiologi

      Participating Researchers