Munich Innovation Labs and its partners, M3i and the Munich University Hospital are excited to announce the publication of their first co-authored article, “Vibroarthrography for early detection of knee osteoarthritis using normalized frequency features” at Springer Nature (see here for a free, full length read-only version). The article discusses the findings from research project “ArthroScan”, conducted by researchers from M3i and the Munich University Hospital. In this EU-funded project, researchers sought to study the possibilities of vibroarthography, a non-invasive and very cost-effective technology using acoustic frequencies for early-stage detection of damage in knee joints. Munich Innovation Labs contributed its expertise in machine learning to the project, to develop a technology based on machine learning and a linear support vector machine, which proved to reach a classification specificity of approximately 0.8 at a sensitivity of 0.75. This performance is comparable to existing diagnostic tools, thus qualifying machine-learning- supported vibroarthography as an additional diagnostic tool.
Munich Innovation Labs joined selected participants to discuss matters of civil security on the 3rd BMBF Innovation Forum in Berlin, April 12th & 13th 2017
Munich Innovation Labs starts strategic partnership with M3i Industry-in-Clinic Platform, May 31st 2016
Our SCREEN-Consortium gets presented at ESA Workshop in Noordwijk, March 24th 2016
Munich Innovation Lab wins German government sponsored data science hackathon in Berlin, on November 14th 2015
Munich Innovation Labs’s Co-Founder Jens Elsner publishes study supporting free ‘Super Wifi’
