The Perceived Use of Electronic Identification-Based Wearables in Medication Administration in Long-Term Care

Medication errors are common in long-term care homes, as older adults are at an increased-risk of experiencing medication errors. Additionally, most older adults living in long-term care homes have dementia, and few can identify themselves; this increases the risk of a medication error. Tap2Tag Medical Ltd. offers the Tap2Tag Medical Alert Bracelet. The bracelet encompasses […]

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Improving obesity prevention and management in primary care: Patient experience of personalized assessment and care planning and impacts on patient self-management

Over 14 million Canadians live with overweight or obesity. Patients want conversations with their primary care team about weight and create personalized plans to improve their health. Primary care clinicians want to have these conversations too, but don’t know how. This project partners with an interdisciplinary primary care team (ESPCN) and the Canadian Obesity Network […]

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Profiling vendors and products using temporal machine learning

Atlantic Lottery Corporation is owned by four Atlantic provinces. The profits generated by the corporation go back to the provincial general funds for the betterment of the community. A primary goal of the project is to improve the profits of the corporation through suggesting more efficient logistical planning. The corporation’s data mining and knowledge discovery […]

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Forêt s’Adapter : Pour le développement d’une sylviculture favorisant l’adaptation des forêts de la Vallée du Haut-St-Laurent aux changements globaux

Au Canada, la forêt privée joue un rôle fondamental dans le fonctionnement des paysages agro-forestiers en procurant d’importants biens et services tant aux propriétaires des boisés qu’à leurs communautés environnantes. Ces forêts devront faire face à des conditions futures incertaines causées par les changements globaux, comme c’est le cas pour les forêts de la Vallée […]

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Applying Deep Learning to Optimize 3D Pose Estimation from Monocular Video

REP is an athlete development platform for building better, and healthier athletes. Inside the REP platform are computer algorithms that can “see” how people move, and the accurately estimate how they are moving in three dimensions. The REP platform can then compare models of how you move, to models of how experts move. This comparison […]

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Développement d’une méthode de conception des sols ciments et des fondations stabilisées au ciment pour routes à l’aide de l’essai de plaque française

Afin d’obtenir une infrastructure efficace et durable, il est primordial que ses composants résistent aux intempéries et à l’usure des usagers. L’amélioration des sols d’infrastructures et des fondations routières peut se faire de différentes manières, notamment en y ajoutant un liant hydraulique. On décrit alors le résultat comme étant « stabilisé » ou en d’autres […]

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Novel formulation for the treatment of interstitial cystitis

Interstitial cystitis is an inflammatory disease of the urinary bladder and is recognized as a serious medical condition associated with a profoundly negative impact on patients’ quality of life. Currently, there are no widely acknowledged causes of this disorder and no effective treatments available. Panag is a Halifax based drug company which focuses on development […]

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Evaluation and Identification of Gaps and Technical Challenges in Candidate Carbon Capture/CO2 Conversion Technologies Part 2

In the wake of the Paris meeting on global climate change in December of 2015 (COP21), commitments to drive down greenhouse gas emissions have escalated around the world. Man-made carbon dioxide (CO2) emissions are accepted as the largest contributor to climate change. Promising next-generation technologies for decreasing CO2 emissions are being investigated at the lab […]

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Development of a spectroscopy light transport simulation software for absorption, fluorescence, elastic & inelastic scattering optical contrast in biological tissue

In this project a software will be developed to model the propagation of light in biological tissues and different types of events that may occur while light is interacting with the medium. The modelling is based on tracing a large number of photons launched in the tissue and applying a stochastic model for the possible […]

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Effects of various compounds on central nervous system neurons as potential therapeutics against epilepsy

Xenon has developed isoform selective blockers of the sodium channels that are expressed in CNS neurons with the intent of developing them for therapeutic use, especially epilepsy. The primary goal of this research project is to determine the activity of compounds on CNS neurons. Until now, all characterization has been done with heterologously expressed channels. […]

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