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Researchers from UMC Utrecht and TU/e are working on an 'augmented reality' layer for surgeons who perform complex esophagectomy with a robot.
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Researchers from UMC Utrecht and TU/e are working on an 'augmented reality' layer for surgeons who perform complex esophagectomy with a robot.
Featured
New ways to monitor glucose without finger pricks could help the millions of people around the world who need to manage diabetes in their lives every day. Viit Health partnered with Softeq to prototype a promising new solution.
Featured
WashU interdisciplinary research uses machine learning to offer accurate prediction of preterm birth
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TAGGED WITH rehabilitation
with Xsens motion capture
A new glove with more than three dozen actuators across all five fingers and the palm, developed by Cornell researchers, aims to reduce swelling for people suffering from edema.
AI-powered artificial muscles made from pliable materials are reshaping recovery, from stroke rehabilitation to prosthetic design. These machines help people regain motion, strength, and confidence.
Researchers at ETH Zurich have developed an innovative hand exoskeleton that helps persons after stroke re-learn how to grasp. Its accordion-like structure makes it light, robust and easy to integrate into everyday life.
TAGGED WITH prosthetic
AI-powered artificial muscles made from pliable materials are reshaping recovery, from stroke rehabilitation to prosthetic design. These machines help people regain motion, strength, and confidence.
Paired with custom control software, Össur's powered knee prosthesis helped study participants sit, stand and walk more easily.
MIT CSAIL researchers enhance robotic precision with sophisticated tactile sensors in the palm and agile fingers, setting the stage for improvements in human-robot interaction and prosthetic technology.
In this episode, we discuss a breakthrough from ETH Zurich to mimic natural foot signals to the brain using state of the art neuroprosthetics.
Latest Posts
Researchers from UMC Utrecht and TU/e are working on an 'augmented reality' layer for surgeons who perform complex esophagectomy with a robot.
4 minutes read
New ways to monitor glucose without finger pricks could help the millions of people around the world who need to manage diabetes in their lives every day. Viit Health partnered with Softeq to prototype a promising new solution.
WashU interdisciplinary research uses machine learning to offer accurate prediction of preterm birth
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EPFL researchers have developed a customizable soft robotic system that uses compressed air to produce shape changes, vibrations, and other haptic, or tactile, feedback in a variety of configurations.
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Polymer glass transition temperature (Tg) refers to the temperature at which an amorphous polymer transitions from a glassy, rigid state to a rubbery, flexible state. Understanding the polymer glass transition temperature is crucial for various industries, including engineering and manufacturing.
AI scientists and doctors partner to understand who is at risk for persistent post-surgical pain
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Protein sensor developed by alumna-founded Advanced Silicon Group can be used for research and quality control in biomanufacturing.
EPFL and Lausanne University Hospital (CHUV) are part of an African-EU partnership awarded 10-million euros by the EU's Global Health EDCTP3 Joint Undertaking to roll-out an AI-driven application for more accessible and cost-effective tuberculosis (TB) diagnosis.
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A sweetener commonly found in chewing gum can replace toxic additives in hydrogels used to diagnose and treat a variety of medical conditions.
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Wound assessment can be challenging due to its subjective nature, but a new sensor array quantifies biomarkers and has potential to offer real time measurements that could improve the healing process.
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A new platform mimics various blood vessel structures, enabling more accurate models of vascular disease and patient-specific research.
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BrainChip's Akida processor is enabling real-time seizure prediction in wearable devices, marking a breakthrough in low-power, personalized medical AI at the edge.
Hitting 2 petawatts, the NSF-funded ZEUS facility at U-M enables research that could improve medicine, national security, materials science and more.
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Researchers at ETH Zurich have developed the first technology that is able to recognise biomarkers in menstrual blood – directly in sanitary towels. MenstruAI promises a simple, non-invasive method for recording health data in everyday life.
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The winner of the Global Photonics Engineering Contest, Perceptra from San Francisco, is setting a new benchmark for real-time molecular monitoring.
