Press materials are now available for NUTRITION 2026, the annual flagship meeting of the American Society for Nutrition (ASN). Nutrition scientists and practitioners from around the world will gather to share the latest research findings on food and nutrition during the meeting, to be held July 25–28 in National Harbor, Maryland, just outside Washington, D.C.

For more than two decades, scientists have uncovered remarkable links between the trillions of microbes living in our gut and the health of our brains. This research has transformed our understanding of stress, depression, anxiety and neurodevelopment, opening new possibilities for preventing and treating mental illness. What if much of this science is based on studying only a narrow slice of global diversity? 

Published today in Nature Mental Health, a new international perspective led by researchers at APC Microbiome Ireland in University College Cork (UCC) argues that one of the biggest obstacles facing microbiome and mental health research is not a lack of technology or data, but a lack of global diversity in the people being studied. The authors contend that the field has become overwhelmingly concentrated in wealthy, industrialised nations, limiting scientific discovery. 

New statewide analysis reveals rising injury severity among e-bike riders, particularly children, highlighting urgent needs for safety education, infrastructure improvements and policy changes.

As populations grow and economies develop, the world will need more roads, railways, and other mobility infrastructure, especially in rapidly urbanizing regions. The challenge is to provide that infrastructure while minimizing resource use and carbon emissions – a goal new research suggests is well within reach.

Capturing human hand motion at 800 Hz, a new data glove system called T-800 records rapid finger movements that conventional wearable systems can miss. A research team from Peking University and collaborating institutions has developed T-800, a high-bandwidth data glove system for precise hand gesture tracking. The system achieves synchronized full-hand motion capture at 800 Hz using 18 distributed inertial measurement units (IMUs), a broadcast-based synchronization mechanism, and a mechanical stress-isolation architecture. By addressing the limitations of conventional motion-capture systems, including visual occlusion, low temporal resolution, and sensor clock drift, T-800 enables the recording of fine-grained, high-frequency hand movements during dynamic manipulation. The study further demonstrates that rapid human hand motions contain measurable energy components above 100 Hz and shows that the captured data can be retargeted to dexterous robotic hand models. These results provide a high-fidelity data foundation for future research in robotic imitation learning, dexterous manipulation, and embodied intelligence.