Using machine learning to predict and attribute mortality to non-adherence to medication among patients with asthma and/or COPD

This project has two objectives. At the individual level, we propose to develop, using artificial intelligence, a predictive tool useful in the doctor-patient relationship. It will indicate the five-year risk of death for asthma and COPD patients based solely on individual electronic information already recorded by the provincial health insurance organism: sociodemographic factors and the […]

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Exercising together: The Perception of Exertion in Others

Physical activities, such as running, cycling, and weightlifting, are typically associated with a subjective feeling of exertion. Such perception of exertion is generally defined as “how heavy and strenuous a physical task is”. People’s subjective feelings of exertion is strongly associated with the task intensity and their energy expenditure. People also often exercise together, both […]

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Machine learning-based beam management algorithms for space communications.

The spectrum environment for the satellite communications industry is becoming congested, contested, and complex due to increasingly massive constellation deployments. Newly activated terminals can take a long time to find and establish a link with their desired satellite, resulting in significant downtime. Beamforming is a key method for producing high-data rates and efficient communication links. […]

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Synergistic actions of nutraceuticals on pain and inflammation in experimental arthritis

Arthritis is among the most common chronic conditions in Canada in both children and adults. Arthritis is a potentially disabling disease causing joint inflammation and pain. Increasingly, people suffering from arthritis are using alternative therapies including nutraceuticals. This research aims to create new knowledge about the synergistic effects of gamma-linoleic acid (GLA), eicosapentanoic acid (EPA) […]

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3D Image Representation for Gameplay Automation

AMD graphics cards are extensively used for computer games, and testing their performance involves manually playing various titles on multiple configurations. Automated gameplay can save time and effort during this process. However, using game images as input presents challenges for reinforcement learning (RL) agents, specifically in player navigation and movement. This internship aims to develop […]

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Synergistic actions of nutraceuticals on pain and inflammation in experimental arthritis Year Two

Arthritis is among the most common chronic conditions in Canada in both children and adults. Arthritis is a potentially disabling disease causing joint inflammation and pain. Increasingly, people suffering from arthritis are using alternative therapies including nutraceuticals. This research aims to create new knowledge about the synergistic effects of gamma-linoleic acid (GLA), eicosapentanoic acid (EPA) […]

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Improved Perception and Navigation for Automated Harvesting using Imaging Sensors

The primary objective of the project is to develop a comprehensive system that enables spatial and color measurements of agricultural fields using imaging sensors. By integrating the data acquired from onboard imaging sensors with GPS/INS sensors, the aim is to enhance the navigation capabilities of harvesting machines. This integration allows for efficient and precise navigation, […]

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Testing alternative binders for biochar-based seed coatings

“Precision seeding” is a new approach to forest restoration that seeks to place tree seeds in locations to maximize establishment success using drone technology. Coating seeds with biochar – a form of charcoal made from waste materials – is a new innovation in this area, but it is necessary to find the right binding agent […]

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Sensors Western Operational Research andDevelopment (SWORD)

Accurate monitoring of a patient’s vital signs – including body temperature, blood pressure, and pulse oxygenation – is central to the ability of clinicians to provide appropriate medical care. In spite of this, the standard equipment used to take these measurements is inefficient, inconvenient, and expensive. Adept Diagnostics will break into the medical device market […]

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Système de décontamination de l’eau alimenté à l’énergie solaire

Les composés per- et polyfluorés (PFAS) sont des composés chimiques très stables qui se trouvent dans de très nombreux biens de consommation courants. Cependant, du fait de leur stabilité, ils s’accumulent et contaminent l’environnement. Ces « polluants éternels » ont un impact néfaste sur la santé et l’environnement. La compagnie E2metrix a démontré que son […]

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Technology Integration in the Natural Resources Sector

At the request of our community partners, Selkirk Innovates would like to refresh and ensure continuity with internships required to support our ongoing technology integration work in the natural resources sectors critical to the Kootenay environment and economy, specifically in forestry, fisheries, hydrology/ geothermal, wildfire mitigation and Mining/Minerals and with particular focus on applying geomatics […]

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