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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L2M – Vira

This research-based project aims to make developing virtual reality (VR) applications faster and easier by using generative AI tools. By streamlining the development process, the project can help both companies and individual developers save time and resources. This is especially valuable for Calgary’s growing community of VR businesses and research labs. Overall, the project supports […]

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L2M – EnerCast

I intend to commercialize a foundation model for forecasting energy production and consumption time series, addressing challenges like renewable integration, storage optimization, and demand-supply balancing. Resources such as HVACs, EVs, ESSs, and solar roofs introduce uncertainty due to temperature sensitivity, price response, and weather variability, making grid management and the transition to smart grids more […]

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L2M – Next-Generation iEEG Electrodes with Integrated Optical and Oxygenation Sensors for Precision Neurodiagnostics

This project explores the market opportunity for a next-generation intracranial EEG (iEEG) electrode system that integrates optical and oxygenation sensors to enhance brain monitoring in clinical and research settings. The proposed innovation addresses a critical gap in current neurodiagnostic tools by enabling simultaneous acquisition of electrical activity and hemodynamic signals from the brain. This dual-modality […]

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An investigation of the use of collaborative and adaptive root cause analysis (CARCA) technique in a professional health, safety, and environment training program

The proposed research aims to test the relative merits of the “collaborative and adaptive root cause analysis” (CARCA) technique. Through this technique, the aim is to enhance Health, Safety, and Environment employers’ appreciation of complex events and phenomena associated with operational incidents, contributing to their professional development as joint thinkers. Various incident-based scenarios will be […]

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Effect on Electromagnetic Fields on Blood and Insulin Blood Levels

In recent years, many studies have investigated and demonstrated the positive effects of electromagnetic field (EMF) stimulation on fracture healing, pain management, cancer treatment, or neurological disorders. With the increasing number of diabetes patients in the current society, the use of EMF could potentially be used as a new alternative and non-invasive method to treat […]

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Fibre-Optic Sensing with Ambient Noise for Improved Understanding of Landslide Behaviour

Landslides are natural hazards, commonly triggered by heavy rainfall, glacier melt, and permafrost degradation. This project explores an emerging fibre-optic sensing technology, Distributed Acoustic Sensing (DAS), which can enhance our understanding of slope failure processes. DAS transforms fibre-optic cables into thousands of sensors capable of detecting small-scale ground deformation in near-real-time. This project will apply […]

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Radicare Ventures – Collaboration between Bill Zheng and C3 Lab

RadiCare Ventures is looking for a summer intern to work on expanding the current Customer Resource Management (CRM) technology and a centralized data collection platform. This may include researching and building out a CRM, aggregating and automating current data collection processes and report generation systems, and also working with management to explore areas of key […]

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