A Message from the Centre's Director

At the Centre for Bioengineering and Biotechnology, we have over 130 researchers working in areas as diverse as new pharmaceutical delivery systems, lab testing on technologies as small as a computer chip, better and lower cost imaging systems, and software solutions for healthcare.Our researchers span all departments of the faculties of engineering and science, and includes researchers from other faculties as well.The common thread between researchers is a dedication to understanding how technology can work in conjunction with biology and people to make a better world.

The Centre for Bioengineering and Biotechnology is focused on partnerships.Success in this area requires strong partnerships between researchers, students, industry, healthcare and government.For this reason, the Centre welcomes members from these communities and encourages them to join the Centre and participate in our research.We host industry focus days, seminars, workshops, student events, and help build the right teams to tackle the toughest problems.Come join us, and work towards a better, healthier world through technology.

News

Marianna Foldvari received an award for Outstanding Lifetime Achievements in Nanoscience from NanoOntario, an organization that represents the province’s nanotechnology community. She has also been appointed a fellow of the prestigious American Association of Pharmaceutical Sciences (AAPS). Dr. Foldvari is a global leader in non-invasive gene therapy and nanomedicine-based large drug molecule delivery.

Richard Houghson, Kinesiology professor and his team discover that women can process oxygen about 30% more quickly than men when they start to exercise, indicating a superior aerobic system. “It could change the way we approach assessment and athletic training down the road,” said Thomas Beltrame, lead author on the study.

The study is published in Applied Physiology, Nutrition, and Metabolism.

Technology developed by Alexander Wong and team is paving the way for artificial intelligence (AI) to break free of the internet and cloud computing.

New deep-learning AI software produced with that technology is compact enough to fit on mobile computer chips for use in everything from smartphones to industrial robots. That would allow devices to operate independent of the internet while using AI that performs almost as well as tethered neural networks.