Start-up
EPFL now has its own Hyperloop test track
Teaching
EPFL
Engineers at EPFL’s DESL lab, working in association with EPFL spin-off Swisspod, have built a Hyperloop test track on the Lausanne campus. They will use the loop – a large vacuum tube for ultra-high-speed travel – to test a linear induction motor. The research is being funded by an Innosuisse grant.
Why do scientific discoveries take so long to reach the general public?
TechTransfer
EPFL
EPFL summer series: How science works. For scientists, the path from bright idea to finished product is a long one. Prototypes must go through an extensive testing and approval process before they are ready for the market. Let’s have a look.
Startup Champion Seed Night: 10 years of discovering new talent
TechTransfer
EPFL
The 10th edition of Startup Champion Seed Night is taking place this Thursday, 29 April 2021. Nicolas Durand, CEO of Abionic – an EPFL spinoff that specializes in rapid testing based on nanofluid technology – looks back on his involvement in the competition’s first edition in 2012 and how his company has developed over the past decade.
Go-ahead for Swiss m4m Center
TechTransfer
Empa
Since 15 April, it is official: The Technology Transfer Center for 3D Printing in Medical Technology – Swiss m4m Center, in short – meets the requirements of ISO standard 13485:2016; it is thus allowed to produce implants and instruments for human patients. The starting signal for promising projects with Swiss SMEs: The partner network already comprises 45 companies and research institutions.
Urolithin A shows effective against muscular dystrophy
Research
EPFL
A new study published in Science Translational Medicine by EPFL professor Johan Auwerx and scientists from EPFL start-up Amazentis highlights the effectiveness of mitophagy-stimulating molecule Urolithin A in mice to cure a disease similar to Duchenne Muscular Dystrophy. And points to a possible treatment for affected people.
Topological data analysis can help predict stock-market crashes
Research
EPFL
EPFL scientists, together with local startup L2F, have developed a robust model that can predict when a systemic shift is about to occur, based on methods from a branch of mathematics called topological data analysis.
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