The current project aims to engage with adults with neurodevelopmental disabilities and their families/caregivers and service providers to gain an understanding of best strategies and practices around engagement of brain and mental health. The expected benefit of this program is to support CAMH and the Azrieli Adult Neurodevelopmental Centre in their goal of improving the […]

It is shown that the rapid administration of treatment in acute stroke patients improves clinical outcomes. In particular, the time it takes to administer treatment once the patient has arrived at the Emergency Department with stroke symptoms is called Door to Needle Time (DTN). The median DTN time at the Grand River Hospital (GRH) currently […]

??The Canadian Parks and Wilderness Society – New Brunswick Chapter is a non-profit organization dedicated to the permanent protection of land, rivers, and ocean areas in New Brunswick. We work to ensure that parks are managed to protect the nature within them, and we promote awareness of our connection to nature and the inherent values […]

The project “Developing Data Strategies to Enable Healthcare Machine Learning” aims to develop effective strategies to collect, curate, and maintain data in healthcare. A data strategy which enables Artificial Intelligence (AI)/Machine Learning (ML) models plays a pivotal role in building response healthcare solutions. The project is focused on understanding the fairness aspects of care quality […]

This project aims to develop a large, labelled dataset of normal canine behaviour for use in developing machine learning algorithms to detect abnormal animal physiological behaviour. These machine learning algorithms will enable veterinarians to collect high-quality data of their patients in their natural environments. This innovative solution has the potential to improve the quality of […]

Developmental trauma is often defined as experiencing family violence and/or caregiver disruption early in life. People who experienced developmental trauma have worse health and mental health outcomes throughout their life. The focus of this research will be on developing and evaluating mental health supports for youth and families impacted by developmental trauma. There are two […]

Understanding which genes are involved in diseases is incredibly important because it helps us develop better treatments. By identifying these genes, scientists can better understand how diseases operate in our bodies and create more effective treatments. This also allows for the creation of personalized treatments based on a person’s unique genes, increasing their chances of […]

Our project addresses a critical issue within the realm of substance use: the pervasive stigma that extends across the entire spectrum of use. By expanding our focus beyond the severe range, which is often the primary focus in research and policy, we aim to identify and understand the stigmatizing language and experiences faced by individuals […]

The project “Exploring Age-Related Changes in Multisensory Integration using Machine Learning tools” aims to investigate how changes in neurotransmitter concentrations influence the way young and older adults integrate multisensory information and perceive time. Its main method of investigation involves applying machine learning tools to analyze the extensive dataset collected from behavioral tasks, Magnetic Resonance Spectroscopy, […]

This research initiative focuses on the development of sustainable and eco-friendly methods for harnessing natural resources, particularly wood, to produce valuable chemical compounds with applications in materials, pharmaceuticals, and agriculture. Through a collaborative effort involving experts from Canada and Italy, we aim to pioneer chemical reactions that leverage visible light and wood-derived compounds as catalysts […]

The project aims to investigate whether implementing Blue-Green Infrastructure (BGI) can provide extra protection to bathing and water recreation areas from Combined Sewer Overflow (CSO) risks. By utilizing the Storm Water Management Model (SWMM) software and Quantitative Microbial Risk Assessment (QMRA), this internship abroad offers a unique chance to assess such risks comprehensively. It also […]

This invention is a software that integrates artificial intelligence (AI) to improve the way contrast media is injected into coronary arteries during medical procedures. It focuses on using the first contrast injection to determine the exact amount needed for further injections in either the left or right coronary artery. This means that the software can […]