Biomarker analysis and machine learning
Tyndall National Institute
Tyndall is a leading European research centre in integrated ICT (Information and Communications Technology) materials, devices and systems. Tyndall works with industry and academia to transform research into products in its core market areas of electronics, communications, energy, health, agri-tech & the environment. With a network of over 200 industry partners and customers worldwide, they are focused on delivering human and economic impact from excellence in research.
MedPhab partner
Post-Processing Development Support
DEVELOPMENT SUPPORT [Characterization testing /services] Analyze, measure, characterize (e.g.) microfluidics
"[Characterization testing /services] Analyze, measure, characterize (e.g.) microfluidics"
in vitro diagnostics in vivo diagnostics therapeutics others
Technology provider Supplier Manufacturer Production services Integrator R&D Clinical Consultancy Equipment
Bio-molecular detection, statistics and machine learning

Biomarkers are routinely used for detection and identification of pathology in tissues. Their specific molecular makeup can be detected using established biochemical assays. Critically, biomarkers also possess unique optical properties, enabling detection using light. However, detection of biomarkers in ex vivo or in vivo is non-trivial. The optical signatures and fluorescence are often attenuated or masked by other bio-molecules, especially haemoglobin. By combining custom multi-spectral detection systems with advanced statistical analysis and machine learning, Tyndall National Institute has the capability to design and test quantitative data processing algorithms. Furthermore, Tyndall is capable of integrating the algorithms with detection systems to automatically calculate the concentration of bio-molecule of interest.