Researchers at Brown University found that AI chatbots routinely violate core mental health ethics standards, underscoring the need for legal standards and oversight as use of these tools increases.

Researchers at the HUN-REN Biological Research Centre, Szeged, Hungary, have developed an artificial-intelligence-assisted technology capable of analyzing up to one hundred patient-derived cell samples simultaneously.

The new method, described in Nature Communications, could significantly accelerate drug development and advance the field of personalized medicine.

Researchers at the HUN-REN Biological Research Centre in Szeged, Hungary, have developed an artificial-intelligence-assisted technology capable of analyzing up to one hundred patient-derived cell samples simultaneously.

The new method, described in Nature Communications, could significantly accelerate drug development and advance the field of personalized medicine.

Traditional geotechnical investigations provide data only at discrete borehole locations, leaving vast areas uncharacterized. This spatial gap often leads to unforeseen ground conditions during construction, causing costly delays, design modifications, and occasionally catastrophic failures. Now, a novel integrated geophysical-machine learning approach, using k-means clustering technique, by a team of researchers from Shibaura Institute of Technology provides continuous subsurface characterization, enabling evidence-based decision-making throughout project lifecycles.

Anode-free metal batteries offer high energy densities, but suffer from dendritic growth and short circuits, arising from non-uniform metal deposition. To address this, researchers from South Korea have developed a new facet-driven metal plating strategy that employs a facet-oriented zinc (Zn) host with a physicochemically polished surface to ensure uniform, horizontal Mg growth during plating, preventing dendrite formation and improving stability.