New UH tool measures whether lactating mothers’ psychological needs are being met
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Jun-2026 10:16 ET (8-Jun-2026 14:16 GMT/UTC)
As part of the body’s first line of defense against foreign invaders, macrophages play an integral role in the innate immune system. However, the ability of macrophages to interpret and respond to diverse danger signals remains incompletely understood. Researchers from the University of Manchester have now found that increases in cell volume reprogram macrophage gene expression and induce inflammation. The findings, to be published May 7 in the Journal of Cell Biology (JCB), add another piece to the ever-expanding puzzle of immune-related inflammatory responses.
As the growing energy demands for artificial intelligence collide with the limits of traditional computer chips, University of Missouri researchers are developing brain-inspired hardware that merges memory and processing — like neural synapses — to dramatically improve efficiency and enable more sustainable, energy-efficient AI.
Robot-assisted radical prostatectomy (RARP) has become the standard treatment for localized prostate cancer. However, postoperative urinary incontinence and erectile dysfunction remain common complications. A new review published in UroPrecision systematically examines nerve-sparing techniques during RARP, including anatomical foundations, surgical planes, innovative approaches, and patient selection tools, providing a practical guide for balancing cancer control and functional preservation.
Adequate boron (B) supply is essential for optimal growth and yield formation in rapeseed (Brassica napus L.). With boron-deficient soils affecting croplands worldwide, developing varieties with enhanced boron-use efficiency represents a sustainable strategy to safeguard productivity. Central to this effort is the identification of genes that regulate boron homeostasis.
Artificial intelligence can dramatically speed up the painstaking work of tracking wildlife with remote cameras, cutting analysis time from months or even a year to just days while producing nearly the same scientific conclusions as humans. That’s according to a new study led by researchers at Washington State University and Google, published in the Journal of Applied Ecology. The team tested whether a fully automated AI system could replace humans in processing hundreds of thousands to millions of camera trap images collected in Washington, Montana’s Glacier National Park, and Guatemala’s Maya Biosphere Reserve.