Uncovering innovation opportunities in the diagnosis and treatment of eye diseases including cataract, cornea, glaucoma, and retinal surgery

Sunnybrook Research Institute has developed the Medventions internship program, an immersive 4-month project-based internship program that brings together multidisciplinary teams of students in the process of identifying hospital-based clinical challenges and the conceptualization and implementation of technology to improve healthcare. The interns are given a unique opportunity to directly observe the full cycle of care […]

Read More
L2M – Advancing Light Electric Vehicle Adoption: Designing and Testing a Novel AC Machine for Reduced Cost and Enhanced Performance

The partner organization operates in the dynamic electric vehicle (EV) industry, aiming to address the challenge of making light electric vehicles more affordable without compromising performance. This is particularly evident in e-bikes, e-motorcycles, e-scooters, and e-wheelchairs. The high cost of these vehicles, coupled with efficiency challenges, hinders widespread adoption. The project targets the cost and […]

Read More
L2M-Development of smart aeroponic systems for the promotion of wellness and sustainability

Sustainable agriculture has a significant and multifaceted role in promoting human health and well-being. There are many approaches to achieving wellness and an aeroponic growing solution is an excellent way to promote wellness by cultivating fresh, nutritious plants and thereby providing an indoor natural environment. In addition, the urban population in Canada is experiencing unprecedented […]

Read More
A Data-Driven Framework for Forecasting Project Performance

In the dynamic field of construction project management, accurately forecasting project performance remains a significant challenge. Budget overruns and schedule delays are common issues, and despite the abundance of available data, existing forecasting practices struggle to effectively leverage this information. This study addresses gaps in the current literature by proposing a data-driven approach to enhance […]

Read More
L2M-Advancing Surgical Precision and Care with AI-Enhanced Mixed Reality

2.1.b. Objectives and approach (the what and the how) obj1: Understanding Healthcare Requirements for Medical Data: Initiate in-depth studies with healthcare professionals to understand their specific needs for visualizing medical data in MR. This could involve examining existing VR solutions in healthcare, and conducting focus groups and interviews with doctors, surgeons, and medical staff to […]

Read More
L2M – AI-Enable Regional Water Quality Assessment with Downscaled Climate Impact

This project is fundamentally about business development and identifying user needs in the face of climate change, a critical issue that poses significant threats to urban water infrastructure resiliency. The focus is on the anticipated challenges caused by changing precipitation patterns, increasing temperatures, and rising demand leading to freshwater scarcity and declining quality. Such climate […]

Read More
Development of 3D printable inks for wound dressing applications

it is planned to devise 3D printable PLA-PEG gels hosting st EOs (called emulgels). The primary objective of this research is to develop innovative methods to manufacture multifunctional 3D-printed hydrogels that can be applied to wound treatments. The challenges include stabilization of EO droplet in gel media along with engineering the rheological properties of emulgels […]

Read More
Strategic Optimization and Design of Artificial Lift Technologies: Synthesizing Data-Driven and Physical Analyses for Enhanced Production and Environmental Impact Reduction

The objective of this partnership is to create an intelligent system that utilizes data-driven analysis, machine learning algorithms, and numerical simulations to evaluate and enhance artificial lift technologies, with a specific focus on gas lift. This initiative aims to help oil and gas operators reach the maximum production capacity and minimum environmental impact. The project […]

Read More
L2M – Electrochemical Ion-selective Polymeric Membrane-Based Microsensor for Low-Limits Drinking Water Salinity Monitoring

The proposed project aims to develop an innovative microsensor for precise monitoring of low-level salinity in drinking water. Using an ion-selective polymeric membrane, the microsensor enhances sensitivity and specificity, allowing for real-time monitoring within the crucial 1-100 ppm range. This technology addresses the current gap in low-cost, on-site salinity monitoring for drinking water. The partner […]

Read More
L2M – Prevention Technology for Pressure Injuries

We are addressing the widespread issue of pressure injuries—a chronic wound affecting millions—with our innovative solution, the Smart Sheet. This soft, flexible, and stretchable sensor array is designed for precise pressure and shear detection. What sets us apart is the Smart Sheet’s unique ability to seamlessly conform to various shapes and contours, providing accurate and […]

Read More
Visite virtuelle du modèle 3D interactif du monastère des Ursulines de Québec

Le projet consiste à créer un modèle 3D interactif du monastère des Ursulines de Québec pour une diffusion Web afin de mettre en valeur l’héritage des religieuses ainsi que son monastère (considéré comme un bien patrimonial national). Notre projet est avant-gardiste parce qu’il propose une libre navigation dans le modèle aux internautes. En effet, la […]

Read More
Account Abstraction and Privacy Enhancement in Web3 Gaming

The intern will be working on a project at ZeroX Gaming, a gaming company, to make it easier for gamers to use blockchain technology in their games. This involves developing a tool that simplifies how players interact with blockchain features, making it as straightforward as using a regular gaming app. Additionally, the intern will work […]

Read More