Tackling drug-resistant infections will take global effort, say York U health experts

TORONTO, November 15, 2019 –Superbugs and antimicrobial resistance (AMR) continue to raise the alarm globally and prevent the effective prevention and treatment of infections. According to the World Health Organization (WHO), drug-resistant infections could cause 10 million deaths each year by 2050 and are increasingly a threat to global public health. One of the biggest factors accelerating […]

Diabetes awareness hockey night at York University

York Lions will host Dahlgren’s Diabeauties Night to support children with Type 1 diabetes TORONTO, November 15, 2019 – York University Lions will face Guelph Gryphons in their hockey game tomorrow, Nov. 16, with a special purpose – to spread awareness about diabetes. The free admission York Lions Men’s Hockey Diabetes Awareness & Dahlgren’s Diabeauties Game will […]

York U engineering research uses AI to predict flood risk in real-time

Research models use data from Toronto’s Don River and Calgary’s Bow River TORONTO, November 11, 2019 – Using complex models based on artificial intelligence (AI) and data from the Don River in Toronto and Bow River in Calgary, researchers at the Lassonde School of Engineering can now predict the water levels in rivers days in advance […]

Would stopping Daylight Saving Time help your natural body clock?

York University biological rhythms expert available to explain how internal clock works TORONTO, October 30, 2019 – When Canadians turn back their clocks one hour at 2 a.m. this Sunday, November 3, many will experience a shock to their bodies’ internal clock much like the jet lag experienced after flying across time zones, according to […]

York University vision scientists disprove 60-year-old perception theory 

Findings could have implications for understanding of human vision and diagnosis of vision anomalies TORONTO, October 24, 2019 –Vision researchers at York University have disproved a long-standing theory of how the human vision system processes images, using computational models and human experiments. A team led by John Tsotsos, professor in the Department of Electrical Engineering and Computer […]