L2M – SmartMed: AI-Powered Platform for Alzheimer’s Medication Management

Medication non-adherence is a major challenge in Alzheimer’s care. Fewer than half of patients take their medications as prescribed, leading to faster disease progression, preventable hospitalizations, and significant emotional and financial strain for families and caregivers. Traditional pillboxes and reminder apps have not solved this issue — they are not designed for people living with […]

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L2M-User-preference based indoor path planning

While outdoor navigation systems like Google Maps have become highly advanced, finding efficient paths indoors such as inside hospitals, airports, or shopping malls remains a major challenge. Most existing indoor navigation tools are static, meaning they cannot adapt to real-time changes such as crowded areas or accessibility barriers. They also rarely account for the diverse […]

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Lululemon: Sports Bra Comfort Assessment

Female breasts experience large displacements during physical activities such as running and jumping. This can lead to problems such as breast discomfort, and even chronic neck and back pain. However, correctly designed sports bras can alleviate some of these symptoms, and enable women to exercise with greater comfort. lululemon Athletica strives to develop a sports […]

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Feasibility study of additively manufactured composite structures for deployable optics

Wyvern Inc., an Edmonton-based satellite imagery company, is partnering with Dr. Joanna Wong’s lab at the University of Calgary to develop lightweight, durable satellite components using advanced composite materials and additive manufacturing. Prototypes will be tested to ensure they withstand the harsh conditions of space, strengthening Canada’s space supply chain and advancing national priorities in […]

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Endovation

This project focuses on extending Neuraura’s LoOoP neurostimulation platform to address the unmet needs of individuals with endometriosis—a chronic, debilitating condition affecting 1 in 10 individuals with a uterus. While TENS therapy is already used for symptom relief, Neuraura is exploring its potential to influence tissue behavior and possibly slow or reverse lesion growth. To […]

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Councils of AIs: A Multi-Agent Approach to Strategic Decision Support with Large Language Models

This research project develops an innovative approach to decision-making assistance by leveraging teams of AI-based agents, known as “councils of AIs”. These councils utilize large language models to collaboratively provide strategic advice and support for complex managerial decisions. The project aims to significantly improve the quality and effectiveness of strategic decision-making processes within organizations. The […]

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Investigating the mechanism of theta burst stimulation

Transcranial magnetic stimulation (TMS) is a safe form of non-invasive brain stimulation that treats different brain conditions. Theta burst stimulation (TBS) is a TMS protocol that alters the underlying neural circuitry and is an FDA and Health Canada approved treatment for Major Depressive Disorder. How cTBS changes brain function remains unknown; however, understanding this mechanism […]

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Generative AI in Corporate: Do Male and Female Leaders Respond Differently?

This project will study how male and female executives differ in the adoption of artificial intelligence (AI) technologies. I use the launch of ChatGPT as the big technological event to understand how executives communicate and discuss the adoption to generative AI. I then analyze how these differences affect how investors react in the stock market. […]

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L2M – Development of a Rapid Molecularly Imprinted Polymer (MIP)-Based Diagnostic Device for Differentiating Bacterial and Viral Infections via Dual Biomarker Detection

We are developing a rapid, low-cost diagnostic device that helps healthcare providers quickly determine whether an infection is bacterial or viral, leading to better treatment decisions and reduced antibiotic misuse. This project will explore real-world demand for the device, evaluate its competitive edge, and refine its market strategy. Through the Lab2Market Validate program, Edmonton Unlimited […]

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L2M – TraffiCore

During the course of this project, the main focus will be on the market research aspect of TraffiCore, a traffic monitoring and control automation startup which aims to provide traffic managers and controllers with a useful tool that can automatically perform the repetitive and mundane tasks that are usually perfomed manually and suboptimally. The intern […]

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L2M – Digital Twin for Real-Time Cardiac Arrest Risk Monitoring

This project has developed a real-time digital monitoring system that identifies people at risk of sudden cardiac arrest by analyzing their heart signals (ECGs). By combining a machine learning model with cloud-based technology, the system automatically updates each patient’s status and sends alerts if a risk is detected. This enables the partner organization to provide […]

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L2M – Clinical Trial Recommendation System Using Large Language Model

We are developing a conversational AI system that helps hospitals and cancer centers find the right patients for clinical trials much faster and easier. Currently, research staff spend weeks manually reading through hundreds of pages of patient medical records to see if patients qualify for specific cancer treatment studies, which means many patients who could […]

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