L2M QC Spring 2025 | Concusono: Portable AI-Powered Ultrasound for Concussion Detection

Concussions pose a critical health risk in sports and other high-impact environments, yet timely and accurate diagnosis remains a challenge. Existing tools are expensive, non-portable, and impractical for field use, leading to delayed or missed diagnoses and increased long-term health risks. Concusono is revolutionizing concussion detection with a novel AI-driven portable ultrasound device that provides […]

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L2M – SEEYA

SEEYA project addresses the growing global epidemic of childhood myopia, a condition that has reached alarming levels due to genetic impacts, urbanization, increased screen time and reduced outdoor activity. SEEYA advocates a fun way to see, and a new way to play! A series of innovative, engaging, and educational toy sets that promote balanced indoor […]

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L2M MITACS-Market Assesment for CardiAxis Medical

The study team has developed a software program called SHARP-VT that doctors can use to quickly plan non-invasive treatments of irregular heart-beats using external-beam radiation therapy. In this study the candidate will conduct a detailed review of the commercialization potential for this software program in the North American and European Union markets. This review will […]

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L2M – Wonder Guard: An Integrated Catheter Bag Module with Electrochemical Biosensing and Machine Learning for UTI Detection

Wonder Guard is an advanced catheter bag system that uses electrochemical biosensors and machine learning to detect urinary tract infections (UTIs). The device is a module add-on to existing hospital catheter systems that can continuously produce and analyze data to monitor UTIs, with faster results than standard urine cultures and richer insights than urine dipsticks. […]

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L2M Augmented Reality Sensorimotor Training

The proposed project focuses on launching an augmented reality sensorimotor training (ARST) system to help individuals with chronic neck pain (CNP) manage their condition more effectively. ARST is designed as an engaging, non-invasive, and accessible at-home therapy that retrains sensorimotor control using augmented reality technology. The project aims to validate the business model, integrate ARST […]

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L2M – SenseOn-Pro

SenseOn-Pro is a small wearable fingertip device that uses photoplethysmogram (PPG) sensor data combined with advanced algorithms to measure many different health markers and events simultaneously. It enables non-invasive, continuous monitoring of multiple chronic health conditions. The device allows the assessment of blood glucose without the need for blood pricking, which is an important component […]

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L2M – Probes to Enable Imaging Small Molecules in Cells

Cellular imaging enables the study of diseases in myriad ways, consequently impacting human health. Through visualizing individual cells, clinicians are able to diagnose diseases and scientists are able to develop drugs to treat them. There are many powerful tools to visualize cells, including fluorescence and electron microscopy. However current common imaging techniques fall short for […]

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L2M – Approaches to Novel Anticancer Therapeutics via MRCK Inhibition

MRCK is an enzyme that has shown promise as a target for the development of new drugs to treat several aggressive cancers, including glioblastoma (GBM) and high grade serous ovarian cancer (HGSOC). BDP9066 is a highly potent and selective inhibitor of MRCK reported first in 2018. Despite excellent activity profile, BDP9066 is not a realistic […]

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Vancouver Cycling Without Age Program Coordinator

Vancouver Cycling Without Age Society is a registered charity and volunteer-powered organisation based in Vancouver that provides recreational trishaw (3-wheeled bikes with a 2-person bench on the front) rides to seniors, and their families. Our goal is to break seniors free from social isolation and loneliness and help them to smile and reconnect with their […]

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Optimizing Mobile Unit Deployment Based on Accessibility and Risk Indicators

This project will extend the Maximal Covering Location Problem with Accessibility Indicators (MCLPA) by incorporating mobile units (MUs) to enhance service areas and optimize accessibility. The proposed Maximal Covering Location Problem with Accessibility Indicators and Mobile Units (MCLPAMU) will consider facilities and MUs with varying service areas and capacities, as well as customer mobility areas. […]

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L2M QC Spring 2025 | Personalized Daily Rhythm Optimizer (Technohealth): Using wearable sensor data to detect an individual’s biological clock and optimize daily schedules for peak mental performance, relaxation, and recovery.

Canada’s healthcare system is facing growing challenges, including rising costs, overworked providers, and limited access to preventive care. At the same time, mental health disorders and chronic diseases are increasing, often linked to disrupted sleep and daily activity patterns. Despite their impact, these disruptions are difficult to track because they rely on self-reports, occasional doctor […]

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L2M QC Spring 2025 | A High-Throughput Platform for Ribomodule Selection and Optimization in Therapeutic RNA

This project aims to assess the market potential of a platform for producing ribomodules, specialized RNA fragments designed to enhance the stability, expression control, and functionality of therapeutic RNA (ARNth). The platform leverages high-throughput screening to develop tailored ribomodules that regulate gene expression and improve RNA stability through optimized circularization. While these innovations hold great […]

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