Chemical targeting of HDAC6 as a strategy for anti-viral drug discovery

The emergence of viral pandemics, exemplified by the Coronavirus Disease (COVID-19), has exposed the urgent need for the development of viral infection therapeutics. In a short span of time, more than 1.5 million individuals have been infected and there have been nearly 90, 000 deaths worldwide. Our objective is to pharmacologically validate a new strategy […]

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Multi-OMIC biomarkers to predict neonatal vaccine response

Many babies die within the first month of life from infectious diseases. Despite successful neonatal vaccination programs, it is not yet possible to accurately predict if a vaccine will work on a newborn child, at the individual “personalized” level. We need to better understand the mechanism of antibody generation after vaccination to improve immunization programs. […]

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WiFi Indoor Localization and Geofencing

Many mobile devices that are used in an enterprise are considered mission critical as they are heavily relied upon, allowing a worker to do their job. Locating these devices anywhere and anytime becomes that much more important, especially if they become lost or stolen. SOTI’s technology leverages GPS on a device to track its location […]

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Computational Biochemistry Platform for Crop Health

The global population is rising, generating a need to produce more food to feed the world. Along with climate change, the food crops across the world are facing growing challenges from pests, pathogens and viruses that attack and destroy crops. In Canada, we export more than $7 billion worth of wheat every year. The Terramera-led […]

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Learning Spatial and Temporal Attention for AI-driven Virtual Sports Trainers

Fitness apps are widespread, used by professionals and casual users alike. Existing apps only give examples, they don’t correct. The proposed research closes this feedback loop by using the video camera on mobile phones as an analysis tool to judge and correct the execution of common gym exercises. This is particularly important for weight lifting, […]

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SOTI SNAP Widget Enhancement

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. The research problem to be addressed is to solve customer […]

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SOTI SNAP Digital Signage

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. The goal of this project is to develop media scheduler widgets so that users can create playlists consisting of mixed media (videos, images, documents) and then deploy them at specific hours on certain […]

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Intelligent Card Detection for Automatic Documentation & e-Commerce

The goal of this project is to develop a Card Detection for Automatic Documentation solution that will be able to detect all features of a collectible card from a scanned image. Given a large number of design variations in cards, simple OCR cannot provide all available information. We aim to deliver an AI-driven solution deploying […]

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Online economic tool to quantify the health benefits of municipal investments in urban greenspaces

7.2. Public Project Overview: The project will develop an online tool to quantify the economic return on investment resulting from improvements in public health attributed to investments in urban greenspaces. The tool will focus on three pathways: improvements in physical health, improvements in mental health and health benefits associated with improved climate resiliency. The tool […]

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Ultrasound image analysis for identifying blood in an existing effusion in knee joint

Ultrasound, an inexpensive, accessible and portable device is gaining popularity in various disease diagnoses. In this project, we aim to analyze the ultrasound images generated for knee joint for diagnosing hemarthrosis (joint bleeding), a common clinical event in patients with severe hemophilia. We aim to analyze the images using machine learning and deep learning techniques. […]

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