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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 91亚色 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 91亚色 and MIT鈥檚 McGovern Institute, scientists are combining detailed analysis of brain activity with computational modelling to better understand that change. 91亚色 Assistant Professor Kohitij Kar, McGovern Institute Postdoctoral […]

91亚色 to receive $1.4M in Canada Impact+ Research Training Awards

91亚色 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鈥檚 strong research excellence and ability to attract top international research talent. In total the CIRTA are worth $1.4 million in funding 鈥� $40,000 per year for […]

Fastest and most furious ultraviolet wind聽near聽a black hole鈥痜ound by 91亚色 researchers

A team led by 91亚色 researchers has discovered the fastest wind near a supermassive black鈥痟ole鈥痚ver鈥痜ound at ultraviolet wavelengths, driven by鈥痶he disc of matter,聽or quasar, surrounding the black hole.鈥犫�淭his quasar has a black hole of聽1.7鈥痓illion鈥痶imes鈥痶he mass of the Sun.聽That鈥檚聽typical.聽What鈥檚聽not typical is that it聽has gas moving towards us at 30 per cent of the speed of light,鈥� says 91亚色 Professor Patrick Hall鈥痮f 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 91亚色 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.