Scientists have developed a method to control the formation of blood vessel networks using magnetic fields, enabling the creation of vascularised human tissue models for drug testing and potentially reducing reliance on animal experiments.
Scientists have developed a new satellite communication technology that dramatically increases data throughput without requiring additional radio spectrum, marking what experts describe as a breakthrough for the Internet of Things.
Increasingly intensive agriculture is accelerating soil degradation, prompting researchers involved in the European SoilLifeBoats project to test new methods using waste-based materials to improve soil health.
Preliminary results from the Astro Performance experiment indicate that astronauts returning from the IGNIS mission experienced significant changes in vitamin D levels and motor stability, researchers said, after analysing more than 14,000 health parameters collected before and after the flight.
Scientists at Gdańsk University of Technology have developed gelatine-based eutectogels that could be used in the treatment of difficult-to-heal wounds and in controlled drug delivery systems, the university said.
Misuse of generative artificial intelligence tools in education can weaken independent thinking and hinder knowledge development, particularly among students without a strong foundation in a subject, research and experiments show.
A team from Wrocław University of Science and Technology is part of an international consortium developing 3D metal printing technology for microgravity environments, aiming to enable production of spare parts directly in orbit.
Polish researchers have developed microscopic “nanoflowers” that allow antibiotics to be delivered directly to infected bones, enabling drugs to act faster, more effectively, and with reduced toxicity. The technology could be a breakthrough in the treatment of osteomyelitis, a severe bone and bone marrow disease that can lead to bone necrosis and growth disorders in children.
An international team of researchers has developed an artificial intelligence model that can predict the motion of atoms in molecular systems directly, dramatically speeding up simulations used in chemistry, physics, and materials science. The model, called MDtrajNet, bypasses the traditional step-by-step calculations of atomic positions, a process that can require millions of steps and substantial computing power.
Small, targeted modifications to large language models (LLMs) can produce unforeseen and harmful effects, a new study warns, highlighting risks in deploying AI systems without fully understanding their internal mechanisms.