New stimulation method builds on focused ultrasound research
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 18:15 ET (2-Apr-2026 22:15 GMT/UTC)
A new study from Carnegie Mellon University shows ultrasound can subtly prepare the brain to respond, rather than directly triggering activity. Combined with light electrical stimulation, it produces stronger, targeted effects for future therapies.
Imagine a tiny patch that could heal stubborn wounds with just a bit of light! Scientists have developed microneedles that release healing agents when exposed to near-infrared light. These innovative patches show remarkable potential for treating diabetic wounds by reducing inflammation and promoting faster healing. Discover how this breakthrough could revolutionize wound care in our latest report.
Learning French, reading the latest Andy Weir novel, hanging out with friends for St. Patrick’s Day — language is central to all these everyday activities. Seemingly effortless from childhood, language, it turns out, is quite complex, not constrained to one set of genes or one region in the brain. Cognitive neuroscientists are now using a diverse arsenal of tools, including novel genetic analyses and AI, to gain insights into both healthy and disordered communication across individuals, as will be presented at the annual meeting of the Cognitive Neuroscience Society (CNS) in Vancouver, British Columbia.
What started out as a response to labor shortages in poultry processing plants during the COVID-19 pandemic has turned into a robotics system that can learn by imitating human movements to handle chickens. Using an advanced imitation learning algorithm and camera perceptions, researchers with the Arkansas Agricultural Experiment Station have developed ChicGrasp, a dual-jaw robotic gripper with pinchers that can grasp a chicken carcass by the legs, lift and hang it on a shackle conveyor to be moved on for further processing. Results of the study behind the development of ChicGrasp were published in Advanced Robotics Research. All computer-aided design files, code and datasets from the project were released as open source, providing what the team describes as a reproducible benchmark for agricultural robotics and robot learning.