Carleton engineering students conducting biomedical research are on the vanguard of a data-driven health-care revolution. By using Artificial Intelligence (AI), they’re mining, processing and analyzing data on an unprecedented scale.
Kevin Dick, a Biomedical Engineering PhD student, is exploring protein interactions, seeking to identify problematic bindings that lead to illness and ultimately forge a path to therapeutic treatments to prevent them. In his research, he’s using machine learning, a type of AI that allows computers to learn without being explicitly programmed.
“We’re using state-of-the-art tools,” says Dick, who uses the Carleton University Bioinformatics Research Group’s Protein-protein Interaction Prediction Engine (PIPE) and the Scoring Protein Interaction (SPRINT) algorithm developed at the University of Western Ontario.
Cutting-edge research and innovation are core ingredients for a thriving, globally competitive economy and also help produce the breakthroughs that lead to healthier lives and communities across the province.
