L2M- A Strategic Commercialization Pathway for Electrochemical Antifouling Membranes

This project will support the commercialization of a new electrochemical membrane (ECM) technology that actively prevents fouling in wastewater treatment systems, offering a sustainable, low-maintenance alternative to conventional membranes. Through structured market research, stakeholder engagement, and techno-economic analysis, the project will identify high-potential market segments and build a clear commercialization roadmap. The partner organization will […]

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L2M — Development and Validation of a Novel Pain-Conscious Tool for IUD and Endometrial Biopsy Procedures

This project supports the development of an innovative device that makes IUD insertions and endometrial biopsies less painful and more accurate. By replacing outdated tools with one integrated system, it improves patient comfort and clinical efficiency. The project will provide ReFem Technologies with real-world feedback, regulatory insights, and a clear path to market, accelerating the […]

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L2M-Validation of solid lubricant coatings for industry applications

The proposed Lab2Market internship program will support the intern, who is currently working with AraMill, in strengthening their understanding of validation processes vital for the commercialization of innovative lubrication solutions. The organization specializes in developing advanced, sustainable metallic solid lubricant coatings for machining tools, which significantly reduce friction and eliminate the need for traditional liquid […]

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L2M-WEARNOVAI: AI-ASSISTED WEARABLE MICROFLUIDIC PLATFORM FOR NON-INVASIVE DETECTION OF INFLAMMATORY BIOMARKERS IN SWEAT

WearNovAI is a smart, wearable device that can detect early signs of neurological conditions like Alzheimer’s and epilepsy by analyzing sweat. Traditional tools used to diagnose these diseases are often invasive, expensive, and difficult to access, especially in remote or underserved areas. This new wearable sensor offers a non-invasive, real-time alternative by identifying inflammation-related biomarkers […]

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L2M-Smart Decontamination: continous PAH Monitoring and AI-Enhanced Safety for Firefighters

This project aims to develop a continuous monitoring system to detect cancer-causing chemicals called polycyclic aromatic hydrocarbons (PAHs) that firefighters are exposed to during their work. These harmful substances stick to their gear, skin, and even enter fire stations and vehicles, increasing long-term health risks like cancer. The project will create smart sensors using advanced […]

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L2M-Portable Water Quality Sensors for Hydroponics

This project aims to develop a low-cost, easy-to-use water sensor for hydroponic farming using printed organic electrochemical transistors (OECTs). The sensor will help growers quickly check the levels of nutrients in their water without needing expensive lab equipment. We will improve the sensor’s performance in the lab, test it in real hydroponic systems, and collect […]

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L2M-FiberTrap

FiberTrap is a new filter designed to stop microplastics from washing machines before they reach our water systems. Every time we do laundry, tiny plastic fibers come off synthetic clothes and go down the drain. These fibers are too small for regular water treatment plants to catch, and they often end up in rivers, lakes, […]

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L2M – Health Validate – A Rapid and Portable DNAzyme-Based Biosensor for Early Colorectal Cancer Detection

Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in Canada, with over 24,000 new cases and 9,300 deaths reported in 2023. Early detection significantly improves survival rates, yet current screening methods, such as stool-based tests and colonoscopies, have major limitations. Fecal tests often produce false positives, leading to unnecessary and invasive colonoscopies, […]

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Stratonovich solution for hyperbolic Anderson model with space-time homogeneous Gaussian noise

Stochastic partial differential equations (SPDEs) are mathematical models that describe random phenomena evolving over space and time. SPDEs underpin modern approaches to modeling phenomena in fields such as climate science, neuroscience, financial mathematics, engineering and quantum physics. The aim of the project is to construct a new solution to a particular SPDE and investigate the […]

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L2M – AIDA: Avatar-Integrated Dating App

Online dating platforms struggle to balance emotional intimacy with user privacy. Most rely on static profiles and text-based chats, which lack the non-verbal cues—like gaze, facial expressions, and body language—that are essential for building trust. While video calls attempt to fill this gap, they introduce two critical issues: First, fixed camera angles in conventional video […]

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