MedTech News
Shape-shifting material could transform future of implantable and ingestible medical devices
Researchers led by Rice University’s Yong Lin Kong have developed a soft but strong metamaterial that can be controlled remotely to rapidly transform its size and shape.
Scientists discover powerful new antibiotic class to tackle deadly superbugs
Scientists at the University of Liverpool, working with international collaborators, have discovered Novltex, a groundbreaking new class of antibiotics with potent activity against some of the world’s most dangerous multidrug-resistant (MDR) bacteria.
Spider-inspired magnetic soft robots could perform minimally invasive gastrointestinal tract procedures
A team of researchers at the University of Macau in China recently developed new soft magnetic robots that can climb inverted surfaces and move in complex environments, which could allow them to deliver drugs to specific locations in the GI tract.
Researchers uncover a key protein and a promising strategy to prevent bone damage from steroids
A new study from UC Davis Health researchers reveals a promising new way to treat various bone loss conditions, including age-related osteoporosis.
FDA clears Amber Implants’ vertebral augmentation system
The company is working to obtain CE marking of the system in the European Union.
OrganOx gets FDA green light for liver perfusion during air transport
OrganOx announced today that it received FDA approval for the use of its normothermic machine perfusion (NMP) device during air transport.
3D bioprinted mini placentas could transform pregnancy research
By 3D bioprinting miniature placentas, scientists have provided a new way to study complications in pregnancy, with the research led by the University of Technology Sydney (UTS).
AI can predict complications from surgery better than doctors
A new artificial intelligence model found previously undetected signals in routine heart tests that strongly predict which patients will suffer potentially deadly complications after surgery. The model significantly outperformed risk scores currently relied upon by doctors.