News for Industry

Tuesday, December 15, 2020

Blockchain systems offer solution to healthcare record management

The implementation of a blockchain-based system may resolve many of the challenges facing current electronic medical records for British Columbia patients. 

By integrating a blockchain encryption method that works with the current electronic medical record options already being used, patient information could be securely and efficiently passed between healthcare providers, without the need for paper records or faxes, according to researchers from the University of Waterloo. 

Wednesday, December 2, 2020

2020 Waterloo iGEM team wins gold with a project to recover heavy metals from wastewater

iGEM team picture, showing 25 of the team members in a zoom call

The Waterloo iGEM (International Genetically Engineered Machine) team has been recognized with a number of awards this year at the annual competition. In addition to receiving Gold standing, their project also received the award for best Manufacturing Project at the undergraduate level, it was also nominated for the iGEM Inclusivity Award and the Best Wiki Award!

Friday, November 27, 2020

Delivering medications by drones

One person holding a large drone with two other people watching

COVID-19 has changed the daily workflow of community pharmacies.

As essential services, pharmacies remained open when many other health-care facilities closed or shifted online, creating a surge in demand that overwhelmed many practices, especially in the area of medication delivery.

Thursday, October 15, 2020

Nandita Basu joins Rebecca Rooney on the IJC Great Lakes Science Advisory Board

Professor Nandita Basu from Waterloo's Department of Earth and Environmental Sciences and Civil and Environmental Engineering, joins fellow Science Faculty member Professor Rebecca Rooney from Waterloo's Department of Biology, as a member of the Great Lakes Science Advisory Board of the International Joint Commission, representing Canada. Both Basu and Rooney are also members of the University's Water Institute.

Monday, March 9, 2020

New software combines quantum and classical machine learning

Five University of Waterloo students, including Antonio Martinez - a PhD candidate in Waterloo’s Department of Physics and Astronomy, have teamed up with Google to develop software to accelerate machine learning using quantum science.

The collaborative effort resulted in the creation of an open-source hybrid quantum-classical machine learning software platform, called TensorFlow Quantum.