A new PLOS ONE study from Lehigh University introduces a computational model that predicts how electrical stimulation affects atrial fibrillation. The framework could help optimize therapy strategies and move clinicians closer to personalized cardiac care.

A study of nine species of large mammals in the Greater Yellowstone Ecosystem has revealed that their behavioral responses to summer heat were influenced more by the structure of their environments than by their biological traits or greater temperature increases – a result the Montana State University ecologist who co-authored the study finds encouraging as the region’s climate continues to warm.

UC Davis scientists have discovered a new species of trapdoor spider in California's coastal sand dunes.

UC San Diego researchers used bioinformatics to identify a promising regenerative therapy for spinal cord injury, showing effectiveness in adult human brain cells and paving the way for future clinical trials.

Cold Spring Harbor Laboratory Professor Hiro Furukawa and postdoc Hyunook Kang have identified the molecular mechanisms that keep the brain’s NMDA receptors fully or partially open. These neurological ‘doorstops’ could point the way to new therapies for strokes, Alzheimer’s disease, and other neurodegenerative conditions.

Oats are considered particularly healthy. They provide fibre, lower cholesterol levels and are gluten-free. However, the genetic makeup of oats has been difficult to understand until now, mainly because it is particularly large and complex. An international research team led by the IPK Leibniz Institute has succeeded in creating a pangenome of oats and has also investigated when and where the genes are active in different parts of the plant. Today, the results were published in Nature.

Ribosomes are complex molecular machines that translate genetic code into proteins essential for all life. Researchers have used AI and other cutting-edge techniques to create the first near-continuous "molecular movie" of ribosome formation, capturing sixteen stages that show how this fundamental cellular machine comes together in real time. The work establishes a new paradigm for studying dynamic molecular machines, setting the stage for AI-driven structural biology that will capture life's core processes in motion.