IBBME PhD candidate Stanley Ng applies machine learning background to design smarter, faster test to help leukemia doctors select the best treatment for their patients
By Jovana Drinjakovic and Ann Perry|November 30, 2016
“We are contributing something new by converging people from diverse disciplines — mathematics, the physical sciences, engineering, biology and medicine — around the big questions in regenerative
By Marit Mitchell and Sean Bettam|November 18, 2016
A team from University of Toronto, led by Professor Aaron Wheeler, took their lab-on-a-chip technology to remote Kenya to test refugees for measles and rubella — and push the limits of what academics