L2M – Development of Waste Paper Biomass Technology: Transformation of Recycled Waste Paper into Carbon-Based Products.

Waste paper is considered to have no value, destined for landfills. There is significant potential to process this waste and convert it to value added carbon-based products that will be developed, tested, and produced, namely Biochar, activated carbon, and carbon electrodes. Biochar is used in the agriculture industry for soil remediation to promote plant growth, […]

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L2M – Collabrix AI: Bridging the Gap Between Academic Talent and Startup Needs

Collabrix AI is developing a platform to connect startups and SMEs with student teams for project execution. By using an AI algorithm to match projects with the right student teams, Collabrix AI helps businesses access flexible, affordable talent while providing students with valuable real-world experience. This project aims to validate the market need for such […]

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L2M – LigandQI: Empowering Drug Design with Quantum Information

Nearly 90% of drug candidates fail during the drug design and development process, resulting in exorbitant costs to bring a new drug to market. Our technology, LigandQI, addresses the critical shortcomings in current computational drug design programs by leveraging ab initio quantum chemistry to quantify ligand-receptor interactions with unprecedented accuracy. Unlike traditional methods, our program […]

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Asset Management Policy & Strategy Development for NAIT, Government of Saskatchewan, Municipalities

An asset management plan and policy serve as crucial tools for organizations aiming to optimize their asset utilization and management. These plans and policies provide a roadmap for maintaining and upgrading assets, ensuring cost-efficiency, and enhancing operational reliability. By implementing a well-structured asset management plan, organizations can make informed decisions regarding asset lifecycle management, reduce […]

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L2M – A biosensor for the detection serum breast cancer markers

This Mitacs Business Strategy Internship (BSI) Grant Application is focused on developing an analytical assay for detecting several breast cancer (BC) markers in serum. As an upgrade to the existing methods for quantifying BC serum markers, we aim to integrate several electrodes on the same sensor platform that will be bio-engineered to target one type […]

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L2M QC 2024 – «Surveillance respiratoire et cardiaque en temps réel avec technologie portable non invasive.»

Le projet proposé vise à développer un appareil portable, non invasif, sans fil et rentable pour la surveillance continue en temps réel de l’activité respiratoire et cardiaque. Cet appareil aidera à diagnostiquer et à surveiller les maladies en fournissant des mesures continues de la fréquence respiratoire avec une précision comparable aux normes médicales, ce qui […]

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L2M QC 2024 – «CO2 to e-fuel»

Carbon dioxide (CO2) atmospheric concentration has increased by 50% (from 280 ppm to 420 ppm) in the last century. Despite efforts to reduce emissions, industries vital to our economy, such as mining, marine transportation, and aviation, remain dependent on fossil fuels for their operations. These sectors are considered hard-to-decarbonize because they lack viable alternatives to […]

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L2M-Enhancing Fertility Treatment: A Mobile Application Utilizing Behavioral Change Strategies

A fertility app is proposed to help couples assess their risk of infertility, create personalized behavior change programs, and track fertility-related biomarkers. Personal, health, and lifestyle information will be collected and synced with smart devices to monitor menstrual cycles, ovulation, stress levels, heart rate, sleep patterns, and physical activity. Data will be continuously analyzed by […]

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L2M QC 2024 – “Brave Technologies : A new breast cancer diagnostic device”

Breast cancer remains a major global health concern, with high prevalence rates in new case diagnoses across the world. The primary challenge in breast cancer detection centers on achieving early and precise diagnosis as actual methods have limitations. The primary challenge in breast cancer detection lies in achieving early and accurate diagnosis. Current methods face […]

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L2M – Enabling knowledge transfer between science education and coastal communities by leveraging generative AI and climate science publications

There are over 250 million scientific publications and reports with an increasing rate published each year, yet many are not accessible to the public due to their technical language and content hidden behind paywalls. This project aims to leverage AI (Artificial Intelligence) and a curated database of ocean-climate literature to enable educators and students to […]

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L2M – Satellite Monitoring, Analysis, and Reporting Tool for Harmful Algae Bloom identification: introducing SMART-HAB, a machine-learning tool to identify and visualize harmful algae blooms in near-real time.

Harmful algal blooms (HABs) are a growing threat to drinking water, fisheries, public health, and recreation. In recent years, HABs have increased in frequency and severity in both freshwater and marine environments. Blooms are hard to monitor because they can occur unexpectedly, and reporting methods across Canada are inconsistent, creating a patchwork of alerting methods […]

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