TU Munich dominate this year’s TR35 in Germany
Every year, the German version of the famous innovation magazine MIT Technology Review honors the best innovators in Germany under the age of 35 (also called TR35). Being honored is not the lifework of a scientist but a concrete idea or project that has the potential to change the world in various ways. Projects or ideas need to be recommended by experts and are then assessed by high-ranking jurors.
For the last six years Technology Review has hosted this competition in Germany to find the best ideas that are out there. This year’s list of winners is dominated by members of TUM. Five of the ten best innovators in Germany work at the Technical University of Munich which underscores TUM’s leading role in the field of technology and innovations. The winners are also automatically nominated for the worldwide list of the 35 best innovators under the age of 35 of the American magazine MIT Technology Review.
An idea is realized
This year’s ideas vary from machines that turn carbon dioxide into valuable resources to rocket engines printed by a 3D-Printer. One remarkable project stems from Maria Sievert (29), alumnus of TUM School of Management. Sievert got the idea when she visited a laboratory and realized that the process of labeling and relabeling tissue samples was quite prone to errors due to the manual procedures. Errors that could put patients’ lives at risk. “Pathologists are doctors who focus on clinical diagnostics. To deal with logistics is often impossible due to lack of time”, says Maria Sievert. She thought that the error rate could be reduced by an automated sample management.
In 2017 Maria and her partner Mark Sievert therefore founded the start-up firm inveox. Inveox develops systems to digitize, automate and connect pathology laboratories. With an innovative automation system for sample preparation in histopathology, inveox increases efficiency and safety in pathology laboratories. As a result, the risk of operational irregularities and potential misdiagnoses are significantly reduced and patient safety – especially in cancer diagnostics – is greatly improved.
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