A Novel Drug for Treating Opioid Withdrawal

BC is experiencing an opioid crisis beset with an alarming number of overdoses and related deaths. Symptoms of withdrawal are a significant factor in perpetuating opioid addiction and a common cause of relapse. Therefore, treatments for withdrawal are highly desirable and commonly used in the first steps of opioid reduction strategies. Enkephalins are natural compounds […]

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AI & Chaos Theory-Powered EEG-Based Systems Predicting and Managing Worker Fatigue and Stress in the Mining Industry

This project focuses on developing a smart, wearable system powered by artificial intelligence (AI) and advanced brain signal analysis to help monitor worker fatigue and stress in the mining industry. Mining is a demanding job, and workers often face long hours and stressful conditions, increasing the risk of accidents. The system uses a small, non-invasive […]

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Intent-based Network Management

This project aims to develop advanced, self-managing networks that reduce the need for manual intervention by allowing network administrators to set high-level goals, called “intents,” rather than dealing with complex configurations. By automating network management tasks and ensuring that these intents are consistently met, the project will help the partner organization operate more efficiently, reduce […]

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What are (elite) Friends for? Exploring the Dynamics of CEO Peer Groups: Motivations, Benefits, and Impacts

This project explores the role of peer groups in shaping the identity of Chief Executive Officers (CEOs) and its implications for both personal and professional outcomes. Specifically, it aims to examine how participation in peer group mentoring influences CEOs’ identity construction and, in turn, their strategic decision-making, leadership practices, and risk-taking. With this research, we […]

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Anomaly Detection with Noisy Labels in Graphs

This research project focuses on improving how we detect fraudulent activities, such as suspicious transactions, in large financial transaction networks like Mastercard’s. Fraudulent transactions are rare and difficult to catch because they often look similar to regular transactions, and there are limited accurate data to rely on. To tackle this, we are using Graph Neural […]

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Correlation between trophoblast cell-surface antigen-2 (TROP-2) expression measured using conjugated Gold nanoparticles and ADC response in breast cancer cells.

According to a WHO report in 2022, one in five people are at risk of developing cancer, but only 39% of countries provide comprehensive health coverage. The most common cancers are lung, breast, and colorectal. Chemotherapy and radiotherapy, while common, present challenges due to their side effects and low specificity. New targeted therapies, such as […]

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Sex differences and body morphology on thermal discomfort thresholds during rest and exercise

Thermal comfort can be broadly defined as a scenario where an individual expresses satisfaction with their thermal environment. However, our thermal environment is rarely constant, and these changes in our thermal environment can negatively affect our thermal comfort. Additionally, a certain thermal environment can be comfortable for one person but uncomfortable for another, because our […]

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Metering and Aggregation, and, Electrification of Buildings Part 2

With the pressing need to reduce energy from carbon emitting sources, electrification of buildings is a crucial step forward. Electrification requires identifying activities and equipment that use energy received from carbon emitting sources and transitioning them to electric alternatives. The proposed research focuses on developing methods and strategies to overcome challenges associated with building electrification […]

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The potential of LCA models to assess the carbon intensity of fuel fractions produced after coprocessing biogenic feedstocks at Parkland’s refinery

In this proposal by assessing the assumptions/data used to impact regulatory credits in programs such as BC-LCFS and the federal CFR, the LCA models will be refined to be more representative. This research will build on past Parkland/MITAC’s supported work which tracked the “green molecules” distribution both within the refinery and in the final fuel […]

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Design and screen novel cell-penetrating peptides intracellular delivery of proteins

This project focuses on improving the delivery of a therapeutic protein called ribonuclease (RNP) into cells, which could help treat certain genetic diseases. The challenge with current delivery methods is that the proteins often have trouble getting inside the cell and reaching the nucleus, where they are most needed. To address this, Sinedore Bioscience, in […]

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Development of theranostic gold nanorods as new cancer therapeutics

SONA Nanotech is a world leader in the manufacturing of gold nanoparticles and applications thereof. Currently SONA has an anti-cancer technology that gently heats tumors from the inside using gold nanoparticles. The anti-cancer effect comes by virtue of cancerous cells being more susceptible to heat-induced death than healthy cells. Currently, SONA Nanotech’s gold nanoparticles require […]

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Integrating benchwork with generative AI development: deciphering cell size regulation while driving predictive AI

Artificial intelligence promises to dramatically accelerate preclinical biomedical research, yet ensuring it provides accurate and relevant information remains a challenge. Current approaches may fabricate references and often lack the context needed to fully address scientific questions. Consequently, AI has not been widely adopted for applications such as hit selection from biological screens or experiment design. […]

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