New AI technique can uncover antiviral compounds using limited data
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-May-2025 06:10 ET (22-May-2025 10:10 GMT/UTC)
Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of hand, foot and mouth disease. The study, published today in Cell Reports Physical Science by researchers at the Perelman School of Medicine at the University of Pennsylvania, showed that reliable antiviral predictions can be made even when only a modest amount of experimental data are available.
A research team led by Dr. Sunghoon Hur of the Electronic and Hybrid Materials Research Center at the Korea Institute of Science and Technology (KIST) and Professor Hyun-Cheol Song of Korea University has developed a biocompatible ultrasonic receiver that maintains its performance even when bent.
To address critical U.S. Air Force communications needs, FAU engineering’s Center for Connected Autonomy and Artificial Intelligence has received a $2.1 million grant from the U.S. Department of Defense Air Force Research Laboratory to establish the FAU Center of Excellence for Research and Education in Programmable Wireless Networks. The center will serve as a critical hub for innovation in dynamic spectrum operations, secure wireless systems and training the next generation of national defense engineers.
Researchers at Karolinska Institutet in Sweden have developed a technique that enables efficient delivery of therapeutic proteins and RNA to cells. The method, presented in Nature Communications, shows promising results in animal studies to deliver gene editors and protein therapeutics.