In an effort to build public trust, the Government of Canada has made a commitment to move toward an Open Government, where government data will be easily accessible and shared broadly. For the public to benefit from Open Government sources, they will need tools that will allow them to analyze and interpret the data accurately. […]

This research project is aimed at the development and experimental validation of a new generation of cast steel replaceable yielding links for use in steel eccentrically braced frames (EBF). The cast steel links can be used to make EBF more resilient than the conventional links. Through the collaboration with the industry partner, CastConnex, in the […]

Poor physical recovery, especially in remote rehabilitation, is the problem that will be addressed in this project. This project is Phase I of development of Fun-exercise module. Fun-exercise system uses gamification to boost patients’ adherence to their prescribed home-exercises. To achieve this goal, Fun-exercise will use mentally stimulating and customizable games paired with a set […]

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to […]

Bronchiolitis is one of the most common causes of infant hospitalization and the costs associated with it are large. Since active treatments are mostly ineffective for bronchiolitis, supportive management (including oxygen saturation monitoring) is the main focus of inpatient management. However, ideal oxygen saturation targets for infants hospitalized with bronchiolitis have not been established. This […]

Electrical stimulation of nerves can be used to restore movements to individuals who are paralyzed following spinal cord injury. Our project is divided into two main parts. The first part aims to combine measurements of muscle and nerve activity evoked by electrical stimulation in order to improve our understanding of the mechanisms involved in nerve […]

A consequence of aging is the increased risk of neurodegenerative disease. In the pathogenesis of neurodegenerative diseases is the production of misfolded proteins which can clump together and interfere with normal cellular function. Mitochondria are highly important as they produce energy necessary for cell survival as well as regulate the controlled cell death process of […]

Serial electron diffraction (serial-ED) crystallography is an emerging structural biology method whereby data are collected from protein nanocrystals using a sub-micron-sized electron beam. The method is set to lead the future of nanocrystallography, given its cost-effectiveness and the small amount of sample required. Combining the expertise of the Colletier and Miller teams, the project will […]

Facial plastic surgery is a multibillion dollar industry in North America. Most surgeries are performed for cosmetic reasons, driven by patient goals. 63% of facial plastic surgeons use software to help people visualize possible surgical results. Deep Surface AI is developing a novel visualization software to help surgeons and patients decide on surgical goals. Deep […]

tentree aims to create Science-Based Targets to ensure its climate-positive ambitions. With the rise of corporate sustainability, creating sustainability goals backed by science can push organizations to realize these ambitions. The research will provide foundational work for creating an impact report and sustainability agenda. The aim is to demonstrate tentree’s leadership in the sustainable apparel […]

Neurodegenerative diseases represent one of the largest healthcare burdens in Canada. However, there is limited understanding of how the complex biological factors affect the development of neurodegenerative diseases, thus the era of precision medicine has not to come to treat them yet. Here, we take focus on bioenergetic disruption as a shared risk factor of […]

Continuous miner (CM) optimal performance depends upon various factors which controls the rock-bit (cutter) interaction, including the type and geometry of the bits (cutters), operational parameters (drum speed, advance rate and etc.) and geological setting of the target rock. According to the conducted investigation on CMs performance at Goderich mine, although, these machines have improved […]