In response to heart injury, blood vessels throughout the body constrict. While this response maintains blood pressure, it strains an already injured heart. Reducing blood vessel constriction after heart injury, therefore, is beneficial. Current medications do not target the root cause of the blood vessel constriction. We have identified keys parts of a signalling complex […]

Developing new high performance steels for vehicle lightweighting applications is essential for reducing transport emissions and for maintaining Canada’s competitive manufacturing base. Stelco have been collaborating with McMaster University and with the CanmetMATERIALS (CMAT) laboratory to design advanced hot rolled alloys for this purpose. Promising results from pilot scale trials at CMAT have now been […]

The BioWater development project will encompass the design, development, fabrication, and validation test of a real-time online pathogen detection analyzer prototype for wastewater. The current development of the prototype BioWater analyzer will focus on (but is not limited to) the detection of the Legionella pneumophila in wastewater from Ontario wastewater treatment facilities (OCWA). CEM Specialties […]

Vermillion Power Technologies (VPT), located in Calgary, Alberta, is a leading energy management company with a strong presence in Canada and a growing international footprint. VPT is in the process of developing innovative technology for renewable home energy systems. This groundbreaking technology aims to streamline the complexity of solar installations by consolidating all the intricate […]

Alzheimer’s Disease (AD) accounts for 60-80% of cases of dementia in people over 65 years of age and affects over 50 million people worldwide and is expected to affect at least 150 million by 2050. Three risk genes, that were identified with strong association with late onset AD, are the topic of this research study […]

The project will develop an A.I. based model and framework to predict water quality conditions in lakes and/or larger streams using satellite imagery. The approach will be generalized and automated so that it can be easily applied to quantify water quality for water bodies in various regions within Canada. Models will be trained using government […]

The proposed research will develop novel distributed machine learning techniques for stable resource allocation and improving traffic estimation in networks. It is a well-known fact that networks are becoming complex and user demand is growing in many directions including the traditional demand for capacity and less delay, as well as improvements in Quality of Experience […]

Traditionally, firms approach their innovation agenda focused on profits. Conventional innovation processes, such as stage-gate and design approaches, can create harm for the world by ignoring the wider ecological, social, and economic systems in which a firm is embedded. There is a better way. This project will develop an innovation tool that creates prosperity and […]

There is growing concern from cat owners and veterinarians regarding the dietary macronutrient compositions of commercial cat foods compared to the typical prey of a wild cat and whether this difference is a potential driver for the increased prevalence of obesity in cats. This has resulted in industry trends steering away from high carbohydrate inclusions […]

This research aims at developing a rapid testosterone test kit using lateral flow assay technology, a technology used for example in routine pregnancy tests, but in a quantitative manner that can inform the user of the exact concentration of analyte in the blood sample. The quantification of the assay will be performed by integrating the […]

A readily identifiable biomarker for ß2-agonist use is desperately needed to maintain competition integrity and ensure welfare of performance horses. Our overarching hypothesis is that chronic ß2-agonist administration induces an energetic switch in skeletal muscle, resulting in impaired mitochondrial function and elevated oxidative stress which, in turn, up-regulates a single or group of metabolites that […]

The main objective of the proposed research is to characterize and develop simulation models for carbon-filled polymer nanocomposites, using key morphological properties such as filler orientation and spatial dispersion obtained from molding simulation tools to predict the electrical conductivity of the resulting composite. This type of integrated modeling, where processing simulations inform conductivity predictions, is […]