Posts Tagged: Craig Simmons

Five core BME faculty members receive NSERC support for discovery research and research infrastructure

Five core faculty members at the University of Toronto's Institute of Biomedical Engineering (BME) have received funding through the Natural Sciences and Engineering Research Council of Canada's (NSERC) latest Discovery Research Program competition, announced as part of a federal investment of more than $630 million in Canadian research. The national funding announcement was made on July 7 by the Honourable Mélanie Joly, Minister of Industry, and supports researchers across Canada working to advance fundamental discovery and innovation.

Engineering the future of heart health | Craig Simmons Lab

The Craig Simmons Lab at the University of Toronto investigates how biomechanical forces shape the behavior of cells, driving regeneration, repair, and disease in cardiovascular tissues. By integrating experimental and computational cell mechanics with state-of-the-art molecular biology, the lab uncovers how heart valve calcification develops, how stem cells can be guided to rebuild tissue, and how lab-on-a-chip technologies can accelerate drug testing. Their work is redefining the future of cardiovascular medicine through mechanobiology and engineering innovation.

Vrushali Guruji’s PhD journey: Advancing heart research & championing STEM outreach

Vrushali Guruji is a fourth-year PhD candidate in Biomedical Engineering at the University of Toronto, where she studies how aortic valve disease influences blood flow and molecular changes in the aorta. Her work spans fundamental research and collaborations aimed at developing new treatments, while her commitment to STEM outreach supports programs that mentor and inspire future scientists. Discover how her research and advocacy are contributing to a more inclusive and innovative scientific community.

How boutIQ is improving cell culture media with AI

boutIQ Solutions, a Toronto-based biotech startup, is transforming cell therapy by using AI and machine learning to optimize cell culture media formulations. Their innovative approach tackles one of regenerative medicine’s toughest challenges: keeping lab-grown cells healthy, functional, and clinically ready.
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