Researchers have demonstrated that retinal cells carry out key processing tasks, paving the way for improved retinal implants and potentially restoring vision to those with macular degeneration. This breakthrough could significantly improve artificial retinas and enhance the sight of thousands affected by age-related macular degeneration.
Researchers at the University of Sheffield have developed biodegradable and harmless silk micro-rockets using innovative 3D inkjet printing. These devices can be used in drug delivery and locating cancer cells, and have the potential to revolutionize safe biological environments.
Researchers at the University of Sheffield developed a computer model to understand how bees use vision to avoid collisions. The model suggests that adding speed detection capabilities to existing motion-direction detecting circuits could enhance the navigation and routing algorithms for autonomous flying robotics.
Researchers at the University of Sheffield have developed a novel implantable material that replicates the natural recoil of a healthy pelvic floor. This softer, elastic material is designed to reduce debilitating side-effects associated with current rigid materials used in urinary incontinence surgery.
A new study by the University of Sheffield reveals that hazardous tropical cyclones in the Philippines are increasing in intensity, leading to devastating consequences. The research suggests that rising sea-surface temperatures since the 1970s may be contributing to this trend.
Researchers at University of Sheffield developed an automated programming method for swarm robots, reducing human error and increasing reliability in complex tasks. The method uses supervisory control theory to ensure predictable behavior, making it suitable for safety-critical applications such as driverless cars.
A team of researchers has developed an open software platform to simulate a complete model of the adult fruit fly brain for the first time. The platform will enable global collaboration and accelerate model development, providing insights into diseases such as Alzheimer's and motor neurone disease.
Researchers at the University of Sheffield have developed microscopic swimming devices that can be guided by physical structures and used for drug delivery or medical diagnosis. The devices use a catalytic coating to move automatically on a pre-determined route, opening up possibilities for targeted treatments and disease diagnosis.