Impact des modifications de la politique d’aide sociale sur la santé des nouveau-nés au Québec

En 2013, le gouvernement du Québec abolissait le supplément d’aide sociale pour contraintes temporaires à l’emploi chez les familles biparentales d’enfants de moins de 5 ans. Ces familles déjà assez vulnérables (avec un revenu se situant nettement sous le seuil de pauvreté) perdaient ainsi 12% de leur budget habituel. Cette recherche vise à évaluer l’impact […]

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Validating Artificial Intelligence Algorithms for Breast Cancer Detection

While mammograms remain the best available technology for early detection of breast cancer, there are a high number of false positive mammograms and biopsies, leading to increased costs to the medical system on follow-up procedures and increased patient anxiety. This project evaluates the performance of artificial intelligence (AI) systems for breast cancer detection using about […]

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Technology for Assessing Neurocognitive Functioning; Validation of Mobile Cognitive Assessment Technology using fMRI

There is growing concern that COVID-19 has neuroinflammatory effects which can have acute or sustained impacts on cognition. Tablet-based games can be used to monitor cognition in medical settings but have not been validated as measures of brain function. The current project will administer a suite of tablet-based measures of cognition as images of the […]

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Briser l’isolement des ainés en temps de COVID-19 grâce au système d’échange local mis en place par l’Accorderie de Sherbrooke

L’urgence sanitaire liée à la COVID-19 a forcé les ainés à adopter des mesures drastiques de confinement qui les mettent à risque d’un isolement. À long terme, ce confinement peut conduire à un désintérêt de la vie. L’organisme communautaire l’Accorderie de Sherbrooke, qui propose un système d’échange local entre ses membres, a mis sur pied […]

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Predicting risk of unplanned hospital readmission within 30-days of discharge using machine learning approaches

Unplanned hospital readmissions are a preventable and costly outcome in the health care system. There are limited tools to estimate risk of readmission. The machine learning process offers an opportunity to develop a risk predictor to identify those at high risk of readmission upon discharge. OKAKI has an opportunity to diversify the commercial products it […]

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Consuming Enterprise Cloud Data on Mobile devices and Desktops

As the mobile landscape continues to grow and diverge, there is the need to start looking for innovative ways to facilitate the Business-to-Business (B2B) use of mobile devices to support cloud hosted enterprise data. For most enterprises, the bigger hurdle is how to support the enterprise system access from the mobile while ensuring business continuity […]

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Future Safe: Designing Efficient Face Masks in the Era of COVID 19

With the surreal times we are living in the context of Covid-19, wearing face masks has become a global public necessity. While many people are wearing face masks, not all masks are created equal. From very expensive high-tech respirators with multiple layers of filtration, to homemade face masks using less than ideal fabrics, the general […]

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Development of Airborne COVID-19 Isolation and Elimination Device

The key for controlling the transmission of COVID-19 is to isolate and eliminate COVID-19 contaminated air and droplets, particularly aerosols. However, this is very challenging for many healthcare settings such as dentistry, which are in dire need of an effective and feasible solution for reducing the COVID-19 risk. UBC Okanagan will partner with Care Health […]

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