Accelerating drug discovery

Two researchers sitting at their laptops in a lab

New AI makes drug discovery faster and cheaper.

Drug discovery is traditionally slow and costly, but Waterloo researchers are changing the game. By working across disciplines and harnessing machine learning, their generative AI model, Imagand, rapidly analyzes how new drugs interact in the body and with existing medications. This powerful tool makes drug discovery faster, cheaper and more precise, accelerating the path to new therapies. Read more.

Hand point at data and graphs on a laptop
Gen AI helps discover tomorrow’s medicines. Imagand uses advanced math and AI to accelerate early-stage drug discovery. By analyzing thousands of molecules, it learns patterns in how they’re built and how they behave. It then “imagines” new molecules with qualities like stability and safety.

Personalized treatment is the next frontier in medicine. Machine learning research like this is putting that treatment in the hands of everyone.

Dr. Helen Chen

Dr. Helen Chen

Dr. Helen Chen (Public Health, Statistics, and Computer Science), Bing Hu (PhD, Computer Science), and Dr. Anita Layton (Canada Research Chair, Mathematical Biology) are interdisciplinary researchers at the University of Waterloo. They use modeling, simulation and analysis to develop innovative solutions at the intersection of human health, mathematics, and technology. 

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