Wednesday, January 21, 2026
Drug development is an arduous process that costs billions of dollars and can last for years or decades. Now, an interdisciplinary team of researchers at the University of Waterloo are using machine learning to dramatically increase the speed of drug development.
“We have a lot of existing data across a broad spectrum of medical domains, but it’s extremely complex, and often not as complete or extensive as we would like,” explains Dr. Helen Chen, professor of practice in Public Health Sciences.
Read the full story from Global Futures to learn more.