Scientists have created a new triboelectric fabric that generates electricity from the movement of the body while remaining flexible and breathable.
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A versatile composite fabric can deactivate both biological threats and chemical threats.
A lightweight powered exoskeleton helps lower-limb amputees walk with much less effort.
A convection-enhanced macroencapsulation device offers the potential of faster and more effective treatment for people with type 1 diabetes.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
Researchers have used machine learning to help reconstruct three-dimensional micro-CT images of fibrous materials.
Engineers have designed a new touch-sensing glove that can “feel” pressure and other tactile stimuli. The design could help restore motor function after stroke.
Researchers have experimentally demonstrated a novel cancer diagnosis technique based on the scattering of circularly polarized light.
Advances in wearable devices have enabled e-textiles, which fuse lightweight and comfortable textiles with smart electronics, and are garnering attention as the next-generation wearable technology.
Researchers have developed an “organs-on-a-chip” system that replicates interactions between the brain, liver, and colon.
Researchers have developed a morphing nozzle for additive manufacturing of fiber‐filled composite materials that hold promise for “4D printing” applications.
Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"
Researchers developed a novel method of growing whole muscles from hydrogel sheets impregnated with myoblasts and incorporated these muscles into a biohybrid robot.
Scientists have shown how smart textiles can be produced in a comparatively easy way, thus opening up new use cases.
Researchers mechanically reprocess silk into a biologically compatible component of bioinks that improves the structural fidelity of 3D-printed hydrogels containing cells for use in drug development and regrowing lost or damaged body
The UNC School of Medicine lab of Jason Franz, PhD, created virtual reality experiments to show how a potentially portable and inexpensive test could reduce falls and related injuries in people with multiple sclerosis.
Researchers have developed a computer model which predicts the neuronal activation patterns that the cochlear implant creates in the auditory nerve fibers.
Biomedical engineers developed a handheld 3D bioprinter that could revolutionize the way musculoskeletal surgical procedures are performed.
Researchers are 3D printing "groovy" tissue-engineering scaffolds with living cells to help heal injuries.
“The antifungal application could prove invaluable among those highly susceptible to infection, such as the elderly, hospitalized or disabled patients.”
Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.
A new 3D printing platform is able to fabricate multi-component scaffolds that “steal from nature” to engineer tissues organized like native tissues.
Engineers have designed pliable, 3D printed mesh materials whose flexibility and toughness they can tune to emulate and support softer tissues such as muscles and tendons.
Researchers at the University of Stuttgart have built an exoskeleton with which the gripping ability of a paralyzed hand can be restored.
The new version of the TWIICE walking-assistance system is not only lighter, more comfortable and more powerful, but patients can also put it on and use it themselves.
Three patients with chronic paraplegia were able to walk over ground thanks to precise electrical stimulation of their spinal cords via a wireless implant.
The advent of electronic medical records with large image databases, along with advances in AI with deep learning, is offering medical professionals new opportunities to improve image analysis and disease diagnostics.