This project will focus on the production of new molecules with a focus towards producing highly sensitive sensors for biogenic amines. Biogenic amines are molecules produced in food when they spoil, and can be used to identify spoilage within food. This technology is a promising strategy for the reduction of food waste as well as […]

Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease that causes progressive loss of motor neurons, muscle weakness, paralysis, and eventual death. The disease affects males and females differently. A key feature of ALS is immune system dysfunction in the central nervous system (brain and spinal cord) and outside, in peripheral blood. This study aims […]

Our primary mandate at API is to advance basic research and innovation to commercialization by providing access to world-class industry expertise, services, and infrastructure. Our activities focuses on engaging and supporting drug discovery and development initiatives, ensuring compliance with regulatory standards and driving innovation and commercialization through collaborative research and clinical studies. The project aims […]

Polyurethane is a flammable polymer that can release toxic gases when exposed to fire, restricting their application in areas such as pipe liners. This project aims to develop fire-proof polyurethane composites pipe liners with a long cycle time and good stability in harsh environments. Given the increasing demand for advanced materials in industry, we will […]

Iron deficiency is the most common and widespread nutritional disorder in the world. It is the leading cause of anemia (insufficient red blood cells in the body to transport oxygen to tissues) and can result in cognitive impairments such as poor memory, attention, and concentration as well as weakened immunity and susceptibility to infections. Although […]

Microbial life forms complex communities that sustain all other living organisms on our planet. These microbial communities can colonize various environments, from inside our intestinal tract to the extreme Arctic Ocean. The set of genes in these communities is called the microbiome, and its components determine the health or disease of humans and natural ecosystems. […]

Carbon-based nanomaterials have gained substantial interest for application in cementitious mixtures. These nanomaterials can modify the microstructure of cementitious mixtures and improve their engineering properties such as their strength and durability. The strength enhancement has significant implications for the concrete industry as it can compensate for the strength reductions caused by high replacement levels of […]

At Elements Athletics, we’re using technology to make sports safer and more enjoyable for everyone. Our flagship tool, Mic’d Up, uses artificial intelligence to analyze referee audio from games, detecting verbal abuse and helping sports organizations enforce their conduct policies. Through this Mitacs project, we’ll improve our internal annotation dashboard to streamline audio review and […]

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

Doctors often use biomarkers which are measurable signs in the body to better understand diseases, track their progress, and test whether treatments are working. Right now, there is no reliable biomarker for amyotrophic lateral sclerosis (ALS), a disease that weakens muscles over time and makes it difficult to move, speak, eat, and breathe. Sadly, ALS […]

This project investigates existing and potentially new approaches to analyze functional brain structures in individuals with post-traumatic stress disorder (PTSD), using advanced neuroimaging such as fMRI, and machine learning. The goal is to identifying patterns built on dependent features within the images representing the connectivity matrices of brain regions. The project will investigate whether causal […]

Efficient real-time scheduling of bus operations remains a critical challenge in urban transit systems, particularly under uncertain traffic conditions and high passenger demand variability. Our existing Double Deep Q-Network (Double DQN) implementation has demonstrated promising results in learning optimal holding and stop-skipping policies for bus operations. However, as urban networks grow in complexity and require […]