TRLUP– Autonomous Long-Endurance Drone System

This project focuses on developing a long-endurance autonomous multirotor drone capable of performing continuous aerial operations for emergency response, environmental monitoring, and remote delivery. It addresses the critical gap between costly manned helicopters—which can cost over $50,000 per hour and operate for only a few hours—and short-range electric drones that can fly for less than […]

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TRLUP–The Nexagon

The Nexagon project aims to develop an innovative neck collar designed to help prevent concussions in sports like hockey by reducing rapid head and neck movements during impact. Inspired by natural structures such as the honeycomb, the collar will be lightweight, comfortable, and effective in absorbing and redistributing forces that can cause brain injuries. Using […]

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TRL ^ Multispectral Sensor Development

This project aims to develop a cost-effective imaging system for the early detection of crop diseases, with a particular focus on Fusarium Head Blight which is a disease responsible for an estimated $1 billion in annual losses to Canadian agriculture. Fusarium Head Blight produces deoxynivalenol (DON), a mycotoxin that renders grain unusable at concentrations as […]

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TRLUP – LinkedWell Companion: Bridging Families and Clinicians Through Intelligent Care Communication

The LinkedWell Companion project is creating an intelligent and compassionate digital tool that helps families and healthcare providers communicate more clearly and stay connected beyond short medical appointments. In many clinics, appointments last only a few minutes, and patients often leave with unanswered questions, forgotten details, or confusion about what to do next. LinkedWell aims […]

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TRLUP– Zester

Many Canadian companies and researchers struggle to find affordable, secure, and easy-to-use data labelling tools. Most existing platforms are foreign-owned, which can cause privacy issues and make it harder for small teams to work with sensitive information. It also prevents us from building local expertise and jobs in AI data management. Zester aims to solve […]

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L2M – NexusNeuro Portable EEG Validation

Diagnosing neurological conditions like epilepsy is often difficult because clinicians rely on brief, in-clinic brain activity recordings, which may miss crucial events. To solve this, our company, NexusNeuro, is developing a “Neurological Holter Monitor” — a discreet, wearable EEG device that allows for continuous, long-term brain monitoring in a patient’s everyday environment. While we have […]

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L2M – Multi-layered Collagen Scaffolds for Periodontal Regeneration

This project is developing a new type of collagen-based material that can help reattach loose teeth caused by severe gum disease or injury. When gum tissue and bone are damaged, teeth can loosen or fall out because the natural structures that anchor them are destroyed. Current treatments only partially repair this damage and often fail […]

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L2M – SeeVita: AI-Powered Contactless Realtime Vital Sign Estimation

Accurate and accessible blood pressure monitoring remains a challenge for individuals, wellness providers, and organizations such as insurers that require reliable health data. Existing cuff-based devices are often inconvenient, intrusive, and unsuitable for continuous or large-scale use. There is a growing demand in the wellness, fitness, and insurance industries for technologies that make health monitoring […]

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MoCaP–ScoRe: Markerless Motion Capture for Precision Scoliosis Rehabilitation

Adolescent idiopathic scoliosis (AIS) is a common spinal condition that affects posture, movement, and quality of life. Deficiencies in proprioception, the body’s sense of position and movement, may play a role by disrupting balance and postural control, contributing to spinal misalignment. Scoliosis is typically assessed with static images such as X-rays, which cannot show how […]

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L2M – Designing and validating an AI-based, user-centered tool to assess discourse skills in individuals with aphasia

Up to 40% of stroke survivors can experience aphasia, a language disorder that affects a person’s ability to speak, understand, read, or write. However, one of the most effective ways to accurately assess aphasia, discourse analysis, remains underutilized. Discourse analysis is usually time-consuming and performed manually, leading to varying results between clinicians. It can also […]

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L2M ParkinSense

This project aims to validate and strategically position an innovative digital health solution designed to monitor tremors in individuals with Parkinson’s disease. The system integrates a wearable sensor and a mobile application to provide continuous, objective measurements of tremor severity and patterns — data that are traditionally collected subjectively and infrequently during clinical visits. Over […]

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