Health economic evaluation provides information about the value for money of new healthcare technologies, and is increasingly used to guide the allocation of scarce resources based on maximizing health gain. The molecular diagnostics company, PDI, has developed a technology to improve the identification of patients at high risk for oral cancers for early intervention, and […]

Biofouling is the unwanted accumulation of proteins and microorganisms on wetted surfaces. Accumulation of biofoulers on sensors and microfluidic devices greatly impairs their performance in assessing the physical, chemical, and biological condition of natural and processed water. Failure to obtain accurate data on these changes and respond in a timely manner may lead to serious […]

The goal of the project is to develop a series of standardized, performance-based computerized assessment tools for use in the examination of social cognition deficits in ASD. Drawing on the available experimental literature a number of potential assessment tasks will be identified, reviewed and configured for computer-based administration to children / youth with ASD. Programming […]

This project explores how different groups within the Turkish-speaking Cypriot community in Northern Cyprus remember the island’s history of conflict and how those memories shape their relationships and the future of the unresolved conflict. It focuses on two groups: native Turkish Cypriots born and raised on the island and naturalized citizens of the de facto […]

Neural Networks (NN) use a set of individual units (neurons) connected together to learn a specific behavior from a dataset. For example, NN excel in classification tasks where given a dataset labelled with presence or absence of a feature in each entry, they are able to detect the feature presence on new inputs. This technology […]

This project will study a relationship between graph (network) theory and algebraic objects known as ideals. Graph theory is a major branch of mathematics with diverse applications to society and industry, including transportation system modelling, social media marketing, and statistical models, among others. To study a graph, one can use the algebraic structure of a […]

The proposed international research collaboration project aims to develop accurate and efficient image processing algorithms for advanced imaging instrumentation technologies. The overarching goal of the project is towards fully automated microscopy technologies with many strategically important applications for both DGIST (Korea) and McMaster (Canada) such as point-of-care diagnosis in remote communities and drug discovery. The […]

This project will engage Veterans, Families and service organisations across Canada to co-design a continuum of care that supports the mental health and substance use health of Veterans and Families. A series of 3-4 engagement sessions will be held with approximately 50 Veterans and families, as well as a 2-3 workshops series with approximately 30 […]

The Ford Motor Company is bringing 800 jobs into the Oakville Assembly Plant. These jobs will be concerned with sequencing parts for the new Material Sequencing Centre. To ensure that workers remain healthy, and their productivity and quality output is up to Ford’s high standards, Ford (through this fellowship) wants to establish clear ergonomic guidelines […]

The Ford Motor Company is bringing 800 jobs into the Oakville Assembly Plant. These jobs will be concerned with sequencing parts for the new Material Sequencing Centre. To ensure that workers remain healthy, and their productivity and quality output is up to Ford’s high standards, Ford (through this fellowship) wants to establish clear ergonomic guidelines […]

This project aims to improve computational methods in quantum chemistry by developing better ways to calculate molecular properties. The research focuses on enhancing existing mathematical tools (called functionals) to make them more accurate, especially for molecular fragmentation processes. The project will create user-friendly software that will be freely available to scientists worldwide. For the participating […]

FetoSafe is an AI-powered startup designed to predict whether small-molecule drugs can cross the placental barrier and reach the fetus. This remains a major challenge in maternal healthcare, as most medications lack reliable data on fetal exposure. FetoSafe uses only the SMILES representation of a compound, capturing its chemical structure, to estimate the risk of […]