Beyond the speeches: scholars offer analysis on trade wars, rising populism, and the evolving role of the U.S. and EU within the international arena As global leaders gather in Davos amid escalating tensions over trade, territorial sovereignty, NATO and the future of the rules-based international order, York University experts are available to provide historical context, […]
Most people take for granted which hand they use to reach for a cup of coffee or a puzzle piece. However, a new study out of York University suggests that for autistic individuals, which hand they use for various tasks is highly variable, which points to profound differences in the brain.
Blue Monday, typically falling on the third Monday in January, has been dubbed ‘the most depressing day of the year.’ While this is more rooted in marketing than science, with the concept being popularized by a travel company a few decades ago to boost winter getaway sales, it does come at a time where it’s common for people to be experiencing issues with their mood, says York University Faculty of Health Professor Rebecca Pillai Riddell.
When the grid collapses, the internet fails, and the signal drops, “cashless” starts to look a lot like “helpless.”
How galaxies assemble their stars and grow over billions of years remains one of the central questions in astronomy. Recent results from the James Webb Space Telescope (JWST), including reports of surprisingly massive and evolved galaxies in the early Universe, have only deepened the mystery. Understanding how our own home galaxy, the Milky Way, built itself over time provides a crucial piece of this broader cosmic puzzle.
Natural Resources Canada has renewed its support for the Energy Modelling Hub (EMH) activities for a further four years beginning, providing $5 million to strengthen Canada’s capacity for transparent, evidence-based energy, climate and energy transition policy development and planning.
While targeted radiation can be an effective treatment for brain tumours, subsequent potential necrosis of the treated areas can be hard to distinguish from the tumours on a standard MRI. A new study led by a York University professor in the Lassonde School of Engineering found that a novel AI-based method is better able to distinguish between the two types of lesions on advanced MRI than the human eye alone, a discovery that could help clinicians more accurately identify and treat the issues.
