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John McPhee thought it would be easy to design a device to give Canada’s competitive wheelchair curlers better control of their shots.

Eighteen months and seven prototypes later, he doesn’t mind admitting it hasn’t been easy at all.

The surprisingly complex problem has so far required hundreds of hours of work by McPhee, a systems design engineering professor at the University of Waterloo, and four of his students.

If you want to improve your golf swing, softball pitch, or tennis serve, the push-up is for you.

The push-up is a highly adaptable exercise that can be tailored to help individuals with specific needs, say a team of UWaterloo researchers who studied a modified push-up, called a ‘push-up plus.’

Friday, February 15, 2019

Seed Fund R2 Recipients

               

Seed Fund logo

The Centre for Bioengineering and Biotechnology is pleased to announce the award winners of the Seed Fund Round 2. 

The mission of the seed fund is to help drive scientific innovation, growth, and opportunity through the support of collaborative research across UW faculties.  

Researchers at the University of Waterloo have developed a new way to prevent and treat Chlamydia, the most common sexually transmitted bacterial infection in the world. 

The new treatment differs from the traditional anti-biotic treatment as it is a type of gene therapy that is delivered via nanotechnology and is showing a 65 per cent success rate in preventing chlamydia infection on a single dose.

Designing responsible artificial intelligence

Waterloo research group joins global partnership on AI

Given Waterloo’s leading role in innovation in the technology sector, and the developing research and commercialization of AI, this is an important question to consider. Professor Alexander Wong believes that Waterloo has an important role to play in helping to shape and guide the ethical use of AI.

Engineering researchers at the University of Waterloo have developed a new system that could significantly speed up the discovery of new drugs and reduce the need for costly and time-consuming laboratory tests.

The new technology, called Pattern to Knowledge (P2K), can predict the binding of biosequences in seconds and potentially reduce bottlenecks in drug research.

P2K uses artificial intelligence (AI) to leverage deep knowledge from data instead of relying solely on classical machine learning.