Développement et validation d’une solution logicielle pour le contrôle à distance d’objets connectés pour favoriser l’interaction sociale des personnes âgées

En raison de la pandémie de COVID-19, les personnes âgées, en situation de confinement sont déconnectées de leurs liens sociaux, et donc plus isolées et sédentaires que d’habitude. L’isolement social est encore plus critique pour les aînés moins familiers avec les technologies numériques. La présente demande vise le développement et la validation d’une solution logicielle […]

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Strategic Safety Stock Allocation in an AssemblySupply Chain Network

The supply chain structure of an engine assembly line consists of several complex flows and processes to satisfy the requirements for on time delivery of these products. The difficulty in managing such systems is due to the fact that more than 1000 parts should be available on time in a synchronized manner to start the […]

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Thermal characteristics of viruses in humans, specifically COVID-19

The research project will focus on identifying thermal characteristics of COVID-19 in humans and applying the characteristics identified to detect COVID-19 in humans using non-invasive methodologies. For this project, the thermal characteristics of viruses in humans, specifically COVID-19 will be studied. The aim will be to answer the following questions: (1) What are the thermal […]

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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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Optimizing Pretrained Clinical Embeddings for Automatic COVID-related ICD Coding

We are building a machine learning algorithm to be able to better understand the unstructured clinical notes that doctors write about patients. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how they are improving over time.

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Development of Machine Learning Algorithms for Inferring Biomarkers Underlying Multi-Modal Physiological Signals of Patients with COVID-19

COVID-19 is a global pandemic disease and the best way to stop it is controlling its spread and treating the infected individuals. Detailed measures of clinical characteristics and outcomes in patients with COVID-19 like Reverse transcription-polymerase chain reaction (RT-PCR) are not accessible to a large population and require patients to spend hours waiting at the […]

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North Perth Ontario: Developing a Response Plan

The consequences of the COVID-19 pandemic are far-reaching and extend beyond the spread of the disease and efforts to quarantine it. With emergency management efforts underway, opportunities exist to develop more effective and efficient response measures to increase the resiliency of our communities amidst this and future public health crises. Developing impactful resilience strategies requires […]

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Food Convergent Innovation Canada Start-Up:Developing data and methods to support the digital backbone of the agri-food system in the Covid19 context

Food Convergence and Integrity (FCI) Canada is being formed to help agri-food companies mitigate the disruptions of Covid-19, increase interactions and innovations among Canadian agrifood companies and enable new agrifood business streams. Through its member platform, it will enhance resilience and competitiveness of the Canadian agri-food sector, resulting also in increased food security for Canadians. […]

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