Canada’s commitment to the Sustainable Development Goals (SDGs) has implications for both domestic and foreign policy in a complex, shifting, and interdependent global health system crowded with multiple actors and stakeholders. The array of activities involved with global public health practice necessitates engagement with health policy and systems research (HPSR), and Knowledge Translation (KT) is […]

When we research the knowledge of the past, we also research the conditions of possibility for different futures (Foucault, 2003; Peers, 2015). Therefore, the purpose of this research project is to use the traces of the past to question the practices that have come to be naturalized within Alberta’s recreation system (e.g., providing pay-per-use recreation […]

An estimated 5-10% of cancers are inherited through family members. To identify patients’ risk for developing hereditary cancers, genetic testing can be used. Communicating hereditary cancer genetic results to patients is challenging for health care practitioners. Practitioners want to ensure that patients understand and communicate their preferences for receiving information. Tools to aid patients in […]

Alzheimer’s disease (AD) is a neurodegenerative disorder that is difficult to detect early before apparent manifestations of cognitive decline. Current detection methods rely on expensive and hardly accessible imaging techniques (PET scans). Optina Diagnostics developed a new camera as well as innovative image processing methods to propose a non-invasive test to identify the presence of […]

Opioids have received much attention in the media, public and government because of the risks associated with them, including fatalities. Concurrent use of BZRAs (benzodiazepines used for treating anxiety and insomnia) and opioids is of particular concern because this is a recognized risk factor for fatal opioid overdoses. Despite this warning, concurrent use is still […]

Providing safe drinking water to the population is one of the main roles of municipalities. However, due to aging urban infrastructure, the number of pipe break is an increasingly around the world which is costly at the economic, social and environmental levels. Municipalities need to have tools that allow predicting these breaks so they can […]

The proposed project is for the postdoctoral fellow to access healthcare data for individual adults in the province of Manitoba in order to: 1) determine the rates of metabolic acidosis in Manitoba along with associated outcomes and risk factor profiles and 2) identify patients in Manitoba who are at high risk of Fabry disease but […]

Avian Reovirus (ARV) is an economically important virus that is affecting poultry flocks in Alberta. Birds infected with pathogenic ARV may develop a disease named viral arthritis/tenosynovitis which is characterised by lameness, swollen joints, rupture of tendons and increase mortality. The disease is controlled by parent stock vaccination with live and/or inactivated antigen to provide […]

Three out of five Canadians with dementia wander, raising concern as to how it can be managed. Current information describing best practices to find missing persons living with dementia however, is inconsistent and can cause police difficulty in choosing search and rescue strategies for this population. The purpose of this project is to develop and […]

The Ubiquitous Health Technology Lab (UbiLab) will explore the development of a data integration framework and recommendation for associated standards that aims at combining data from (1) smart home systems, (2) AAL or IoT for health technology, (3) mHealth, and (4) wearables. Important areas of data management will be explored, as for example security and […]

Existing research focused on the experiences of gay and lesbian older adults with the health care system report that there is a general distrust and reluctance to access healthcare based upon the cumulative effect of discrimination over the life course. At present, while 75% of Canadians have indicated they would like to die at home, […]

The goal of this project is to develop new machine learning methods and computational strategies to mega-analyze data from well-characterized datasets on chronic pain conditions to develop a genetic predictive tool. This tool will be implemented in an online interactive dashboard and used by the Quebec Pain Research Network (QPRN) community. This collaboration with Plotly […]