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An automated assessment technique that uses artificial intelligence could revolutionize the management of Parkinson’s disease.

Chemists have developed a rapid electrothermal mineralization (REM) process, which in seconds can remediate the accumulation of synthetic chemicals that can contaminate soil and the environment.

A pilot study shows that nanoscopic 3-D imaging of ancient bone not only provides further insight into the changes soft tissues undergo during fossilization, it also has potential as a fast, practical way to determine which specimens are likely candidates for ancient DNA and protein sequence preservation.

Faced with the world’s impending freshwater scarcity, researchers turned to solar steam generators, which are emerging as a promising device for seawater desalination. The team sought design inspiration from trees and harnessed the potential of 3D printing. They present technology for producing efficient SSGs for desalination and introduces a novel method for printing functional nanocomposites

Researchers have developed a low-cost, flexible, and customizable sensor for badminton players that overcomes current monitoring constraints. The team used triboelectric sensors to construct their intelligent monitoring system because they are easy to adapt for flexible, wearable devices and to minimize interference during bending and twisting, they built a 3D-printed flexible arch-shaped sensor encased in

Researchers have found a link between some of the largest and smallest objects in the cosmos: supermassive black holes and dark matter particles. Their new calculations reveal that pairs of supermassive black holes (SMBHs) can merge into a single larger black hole because of previously overlooked behavior of dark matter particles, proposing a solution to

Scientists are bioprinting 3D structures with a material that is a close match for human tissue, paving the way for true biomanufacturing.

An international team of researchers has embedded gold nanorods in hydrogels that can be processed through 3D printing to create structures that contract when exposed to light — and expand again when the light is removed. Because this expansion and contraction can be performed repeatedly, the 3D-printed structures can serve as remotely controlled actuators.

Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.

A newly enhanced database is expected to help wildfire managers and scientists better predict where and when wildfires may occur by incorporating hundreds of additional factors that impact the ignition and spread of fire.