Multi-parameter flow cytometry is a powerful analytical tool, enabling rapid measurement of multiple, physical and chemical characteristics of individual cells. Examples of clinical applications of flow cytometry analysis are the measurement of minimal residual disease (MRD) in leukemia, inflammatory disease and the effect of biologicals. While flow cytometry has become more advanced, the interpretation of information is still complicated and time consuming for clinicians, technicians and researchers. Radboud University Nijmegen, together with UMC Utrecht, has developed an algorithm able to process raw data and filter disease-specific outcomes, by comparing the patient data with a healthy population, making diagnosis easier and faster. Moreover, increased precision means the number of false negatives will be reduced, allowing for an early cancer intervention.
NLC and Medtech Europe publish reflection paper on how to improve the innovative landscape of Europe in health tech
MedTech Europe in collaboration with NLC published a reflection paper outlining how Europe can provide a more attractive landscape for Innovation in health tech….
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Ever since the Covid-19 crisis started, NLC has adopted the strategy “prepare for the worst, prepare for the best”. Now, six months later, we…
4 NLC Ventures shortlisted for 2020 Academic Startup Competition
Out of a total of 20 ventures that have been shortlisted for the 2020 Academic Startup Competition, no less than 4 are ventures from…