
U of T ‘self-driving lab’ to focus on next-gen human tissue models
The Self-Driving Laboratory for Human Organ Mimicry is one of six self-driving labs launched by the Acceleration Consortium to drive research across a range of fields

This machine learning method aims to speed up the design of next-generation biomedical implants and aerospace materials
A team led by Professor Yu Zou (MSE) is using a deep learning and genetic algorithm framework to achieve application-specific mechanical properties by microstructure optimization

U of T Engineering researchers unveil sensor for real-time cellular analysis in living zebrafish embryos
Researchers led by Professor Jonathan Rocheleau (BME) share their findings in a new paper published in Science Advances

Two ECE professors win esteemed IEEE awards for pioneering contributions to their field
Professor Hoi-Kwong Lo honoured for his work in quantum information and quantum cryptography, and Professor J.J. Garcia-Luna-Aceves celebrated for his work in computer networks

U of T partnership will bring graduate students from South Korea to Toronto for six-month applied AI program
Initiative will be run through the Centre for Analytics and Artificial Intelligence Engineering (CARTE) and housed in the department of Mechanical and Industrial Engineering

U of T researchers challenge long-standing theory guiding nanoparticle treatment of tumours
Study could explain why some cancer treatments are struggling in clinical trials