EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.
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Vecna Technologies, founded by a pair of MIT alumni, has followed a long and winding path to help people in health care settings.
The hybrid “eBiobots” are the first to combine soft materials, living muscle and microelectronics, said researchers at the University of Illinois Urbana-Champaign, Northwestern University and collaborating institutions. They described their centimeter-scale biological machines in the journal Science Robotics.
Choosing a material for new Medical Device Development can have a major influence throughout your medical device life cycle, from design, prototyping, testing, regulatory approvals, and mass production to commercialization and even disposal. Every material has certain characteristics, which should be in consistent with the properties of the medical device as well as final applications.
2 minutes read
The Fe+male Tech Heroes was initially designed as a platform from women to (primarily) women. Over the years, our network has expanded and reached many men who understand that diverse input is pivotal for the success of any project. One of those smart minds is Julien Penders, who believes initiatives like ours are crucial to inspire the younger generation and change society for the better.
6 minutes read
Combining biology and robotics, scientists at EPFL have built a robotic microsurgery platform that can perform high-precision, micrometer-resolution dissections to advance our understanding of how the vertebrate body forms during embryonic development.
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Success lies in open innovation and forging partnerships to further develop deep-tech, medical applications for its technology. So, at first glance, Eindhoven and its semiconductor and deep-tech focus isn’t the obvious place for a pharma company. Yet the founders of Emultech knew they needed to be here, and time has proved them right.
4 minutes read
An artificial intelligence algorithm can determine non-invasively, with about 70% accuracy, if an in vitro fertilized embryo has a normal or abnormal number of chromosomes, according to a new study from researchers at Weill Cornell Medicine.
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In this episode, we talk about a device developed using shape memory alloys which can prevent and reverse the effects of muscle atrophy.
As an Inspiring 50 award-winner and startup founder, Greek-Albanian Sophia-Eriola Shanko is a first-time entrepreneur. She has a BSc in Control Systems Engineering, graduating in a classroom with two girls and 100 boys. She pursued a fully EU-funded MSc on Semiconductors and obtained her Ph.D. at TU Eindhoven.
5 minutes read
Bion Space became one of the finalists in the Stratosphere Satellite research and engineering program. Their project became a part of a research probe sent into the stratosphere on November 19 to analyze the way lower gravity can affect the biomimetic process of bone-like tissue formation.
5 minutes read
You want some medical device prototypes or low-volume production parts to verify the design structure, materials or even your whole medical device idea? Or your medical device development is stalled because the structure of low-volume parts is too complex to be CNC machined or injection molded?
2 minutes read
How can you spot emerging technology innovation at public companies? And how could you scale this up, so that you could track not just a handful but hundreds or even thousands of companies? For this article, I analyzed more than 650,000 financial news to find out.
9 minutes read
Complex surgical procedures place high demands on medical devices. In order to meet the growing regulatory requirements for medical devices, a strict quality control process must be observed and implemented during the manufacturing of the products.
2 minutes read
Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying.
