Bioengineering /engineering/taxonomy/term/1017/all en 91ɬÂþ researchers develop quick test that stands to curb antimicrobial resistance /engineering/article/news/mcgill-researchers-develop-quick-test-stands-curb-antimicrobial-resistance <p>91ɬÂþ researchers have developed a diagnostic system capable of identifying bacteria –and determining which antibiotics can stop them – in just 36 minutes, a major advance in the global effort to curb antimicrobial resistance (AMR). Current clinical testing methods typically take 48 to 72 hours, leaving physicians without timely guidance.</p> <p>The researchers say this innovation arrives at a critical moment due to the urgency of the AMR crisis, which arises from bacteria developing resistance to antibiotics.</p> Mon, 23 Mar 2026 14:13:43 +0000 Claire Loewen 10185 at /engineering 91ɬÂþ iGEM win Grand Prize at the 2025 iGEM Jamboree /engineering/article/news/mcgill-igem-win-grand-prize-2025-igem-jamboree <p>We are thrilled to announce that 91ɬÂþ iGEM has won the 2025 Grand Prize at iGEM Jamboree, the world’s leading student competition in synthetic biology. This marks the second time in just 3 years that the team earns this prestigious distinction, with their project, Cohera—a complete toolkit for multicellular engineering that allows synthetic biologists to access the full potential of cell-cell adhesion—bringing them to first place against 195 participating institutions.</p> Tue, 11 Nov 2025 16:37:29 +0000 Faculty of Engineering 10092 at /engineering 91ɬÂþ Startup, Phoela Health, Among Top Five Student-Led Foodtech Ventures in Canada /engineering/article/news/mcgill-startup-phoela-health-among-top-five-student-led-foodtech-ventures-canada <p>A 91ɬÂþ-engineered biosensor is helping to redefine food safety across Canada.</p> Thu, 06 Nov 2025 16:29:31 +0000 Department of Bioengineering 10080 at /engineering New diagnostic platform uses nanotechnology and machine learning to identify infectious diseases quickly /engineering/article/news/new-diagnostic-platform-uses-nanotechnology-and-machine-learning-identify-infectious-diseases <p>Infectious diseases and respiratory infections in particular are a leading cause of global mortality. As such, there is an urgent need for rapid, large-scale diagnostic tools that can detect these diseases early, something which doesn’t currently exist. To address these problems, 91ɬÂþ Professor of Bioengineering <a href="/bbme/sara-mahshid">Sara Mahshid</a>’s lab has developed an <a href="https://www.mahshidlab.com/">all-in-one detection platform (QolorEX) </a>that can deliver test results in just 13 minutes.</p> Thu, 06 Jul 2023 19:02:41 +0000 Claire Loewen 9006 at /engineering