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Faculty of Science

Exposure to forever chemicals through sea spray may be overblown

Coastal residents may be worried about exposure to forever chemicals from sea spray during hot summer months, but York University researchers found there was little evidence of per- and polyfluoroalkyl substances (PFAS) contamination from marine aerosols, a finding that surprised them.

Learning to identify new objects reshapes parts of the brain, research finds

The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world and learn new things. At York University and MIT’s McGovern Institute, scientists are combining detailed analysis of brain activity with computational modelling to better understand that change. York Assistant Professor Kohitij Kar, McGovern Institute Postdoctoral […]

York University to receive $1.4M in Canada Impact+ Research Training Awards

York University is poised to welcome 11 doctoral students and postdoctoral researchers through the first wave of the federal Canada Impact+ Research Training Awards (CIRTA) initiative, reflecting the University’s strong research excellence and ability to attract top international research talent. In total the CIRTA are worth $1.4 million in funding – $40,000 per year for […]

Fastest and most furious ultraviolet wind near a black hole found by York University researchers

A team led by York University researchers has discovered the fastest wind near a supermassive black hole ever found at ultraviolet wavelengths, driven by the disc of matter, or quasar, surrounding the black hole.  “This quasar has a black hole of 1.7 billion times the mass of the Sun. That’s typical. What’s not typical is that it has gas moving towards us at 30 per cent of the speed of light,” says York Professor Patrick Hall of the Faculty of Science.

Machine-learning immune-system analysis study may hold clues to personalized medicine

How people with compromised immune systems respond to vaccines is an important area of immunological research. A new study led by York University found that not only could machine-learning models accurately pinpoint differences in healthy controls and those living with HIV, but also found outliers in both groups that provide fascinating glimpses into the complex nature of the immune system and what personalized medicine could look like in the future, accounting for variables such as age, comorbidities and genetics.