Researchers from the IXA group at the UPV/EHU are collaborating with Osakidetza (the Basque Regional Health Service) to create a system for automatically extracting adverse drug reactions from electronic health records written in Spanish. The researchers have conducted different tests using both machine learning and deep learning, with the aim of building a robust model for extracting relations between drug-disease pairs based on clinical text mining.
Researchers in the UK have developed a way to coax microscopic particles and droplets into precise patterns by harnessing the power of sound in air. The implications for printing, especially in the fields of medicine and electronics, are far-reaching.
Researchers examined the association of increased anti-immigrant rhetoric during the 2016 presidential campaign with changes in the use of health care services among undocumented patients.
For practical problem-solving, AI researchers need to look beyond their field and collaborate with social scientists and other domain experts, SMU professors concurred at a GYSS 2021 panel.
Professor Byoungwoo Kang develops a high-density cathode material through controlling local structures of the Li-rich layered materials.
New computer simulation forecasts a surprisingly optimistic heat load for future fusion facilities designed to harvest on Earth the fusion that powers the sun and stars to generate electricity.
Researchers at the Earlham Institute (EI) have created a new automated workflow using liquid handling robots to identify the genetic basis to prevent plant pathogens, which can be used on a much larger and rapid scale than current methods.
Using thin films -- no more than a few pieces of notebook paper thick -- of a common explosive chemical, researchers from Sandia National Laboratories studied how small-scale explosions start and grow.
Experimental and theoretical physicists investigated the behavior of magnetic whirls within nanoscale geometric structures.
Cyber-physical systems (CPS), which combine modern networking with physical actuators, can be vulnerable against hackers. Recently, researchers at DGIST developed a new framework for CPSs that is resilient to a sophisticated kind of cyberattack. Unlike existing solutions, the proposed approach allows for real-time detection and recovery from the attack while ensuring stable operation. This paves the way for secure and reliable CPSs across various application domains, such as smart cities and unmanned public transportation.