Researchers at King Abdullah University of Science and Technology (KAUST) have developed a genome engineering method that enables the precise insertion of large genetic sequences into plant genomes. Published in Nature Biotechnology, the approach was successfully demonstrated in tobacco and rice and allows scientists to introduce complex genetic instructions without relying on DNA breaks. The technology could support future advances in crop resilience, sustainable agriculture, synthetic biology, and the use of plants as scalable platforms for producing therapeutics and biologics.

A large-scale analysis from Duke University and collaborators in academia and industry found that at least 1% of resumes submitted to a popular hiring platform contained hidden instructions designed to trick the AI system that filters applicants. The trend is accelerating quickly, researchers note, as tutorials, templates and online videos spread.

As generative artificial intelligence enters medical education, the role of medical teachers is changing. A consensus published in the Chinese Journal of Medical Education Research by the China Consortium of Elite Teaching Hospitals proposes a digital intelligence competency framework for medical teachers. The framework defines five core competencies and 21 secondary indicators, aiming to support faculty development, evaluation, curriculum reform, and responsible use of AI in medical education. Developed through brainstorming and a modified Delphi process, the consensus provides a localized reference for medical teacher training in China.

Discover the future of healthcare and neurotechnology at the University of Rhode Island’s Advances in Translational Neurotechnologies for Healthcare and Rehabilitation Symposium. This exciting one-day event will bring together leading researchers, clinicians, faculty, industry innovators, and students to explore groundbreaking advances at the intersection of engineering, neuroscience, healthcare, and rehabilitation, organized by URI associate professor of biomedical engineering Yalda Shahriari, chair of the symposium, and URI assistant professor of biomedical engineering Reza Abiri, symposium co-chair.

Taking place Friday, Aug. 14, at the Fascitelli Center for Advanced Engineering on the University of Rhode Island’s Kingston Campus, the symposium will feature distinguished speakers, cutting-edge research presentations, interactive discussions, and valuable networking opportunities designed to foster collaboration and accelerate the translation of emerging neurotechnologies into real-world healthcare solutions.

USC is among the first universities selected to help lead the U.S. Department of Energy’s Genesis Mission, a national initiative that unites the country’s 17 national laboratories, universities and industry to explore artificial intelligence for scientific discovery.