Artificial intelligence tools for contrast enhancement in medical imaging often improve visibility but may remove subtle structural details, reducing diagnostic reliability and clinical confidence. This project focuses on validating and preparing for the commercialization of the Edge-Aware Diffusion for Contrast Enhancement framework, which uses an edge-aware diffusion process to improve image contrast while preserving fine […]

Wonder Guard is an AI-powered catheter sensor system that is capable of detecting and predicting infection. We are developing an infection surveillance system using electrochemical DNA biosensors and AI-driven analytics to make assisted diagnoses. The device is a module add-on to existing hospital catheter systems that can continuously produce and analyze data to monitor UTIs, […]

This project focuses on launching and evaluating the NewGen Smart-Cup platform in clinical settings. NewGen Smart-Cup enables rapid, digital urine testing to support early detection of conditions such as preeclampsia and gestational diabetes. Building on prior validation work, this phase will study how healthcare teams adopt and integrate the technology into existing prenatal care routines. […]

This project aims to pursue alternate methods to generate green hydrogen that are less energy-intensive than existing approaches. Leveraging the fact that semiconductors generate electron-hole pairs when illuminated with light and this electron reduces proton (H+) from water to form hydrogen (H2), our goal is to use novel p-type semiconductors to produce green hydrogen, that […]

This project explores how to make clean hydrogen production more accessible and affordable by designing a Mobile Hydrogen Production Unit (MHPU) that runs on renewable energy such as solar or wind. The unit will be small, portable, and capable of generating hydrogen on-site for use in remote, off-grid, or temporary locations that currently depend on […]

Polyamide (PA), particularly PA6 and PA66, is a vital engineering polymer used in automotive, aerospace, electrical, and textile industries because of its strength, heat resistance, and durability. However, most commercial grades are petroleum-based, energy-intensive, and difficult to recycle due to strong hydrogen bonding and high melting temperatures. In Canada, the recycling and upcycling of polyamide […]

This project focuses on validating the market potential of a new kind of sustainable, fully biodegradable glove made from renewable cellulose—designed to replace the billions of plastic-based disposable gloves used each year in Canada. Over four months, we will manually produce prototype gloves, share them with healthcare, laboratory, and food-service users, and collect real-world feedback […]

L’agriculture dans les régions nordiques fait face à des défis majeurs : saisons courtes, conditions climatiques difficiles et manque de main-d’œuvre. Ce projet vise à développer des robots agricoles capables de travailler de manière autonome dans ces environnements exigeants, sans nécessiter une supervision humaine constante. Grâce à l’intelligence artificielle, ces robots pourront non seulement se […]

Our process takes bulk cellulose and upgrades it to cellulose nanocrystals — a valuable nanomaterial. This novel method now holds a provisional patent, but we need Lab2Market (L2M) to help us validate our process and implement it in industry. L2M will aid in identifying our potential customers, making sure our tech links well with existing […]

Non-small cell lung cancer is one of the leading causes of cancer-related deaths, mainly because relapses are often detected too late. This research project aims to validate an innovative method to monitor patients after treatment by detecting tiny traces of tumor DNA circulating in the blood. Using a highly sensitive genome sequencing approach, it will […]

This research project aims to develop and optimize zirconia-cellulose inks for additive manufacturing of scaffolds for bone tissue engineering applications. However, a key challenge in fabricating zirconia scaffolds via Direct Ink Writing (DIW) is the achievement of an ideal rheological properties for precise, high-fidelity printing. Thus, this study proposes the use of nanocellulose, a sustainable […]

The integration of machine learning models and the extraction of meaningful data into industrial workflows continues to accelerate, driving innovation and new business opportunities. Leveraging our expertise in mathematical and statistical modeling, we aim to apply these technologies to address critical challenges in agriculture, where up to 40% of crop yields are lost due to […]