The development of cellular therapeutics is acutely dependent on the ability to evaluate the functional characteristics of the cells in predictive animal models. This forms the basis of key pre-clinical data packages that are key for regulatory submissions preceding human clinical trials. The development of appropriate model systems, the execution of the surgical techniques to […]

OPTIC is a state of the art piece of research software designed to allow computers to autonomously plan complex tasks, such as construction projects, rail timetables and other planning and scheduling tasks. Currently, OPTIC handles the scheduling process using a technique known as Mixed Integer Programming (MIP). In this project, the aim will be to […]

ImmunoBiochem is developing novel anti-cancer therapeutics to address unmet need in intractable solid tumors. Because solid tumors are highly heterogeneous and evasive, recognizing cancerous cells, while avoiding damage to normal tissue, is a challenge. As a result, many targeted therapies quickly come up against resistance, resulting in patient relapses. ImmunoBiochem is solving the issue of […]

The immune system has evolved a diverse array of tools to detect and eliminate foreign pathogens from the body. Bacteria too have evolved methods to interfere with the immune system’s ability to detect them. This allows bacteria to be able to replicate and cause a longer illness. Our project looks to find out how the […]

While the effectiveness of early psychosis interventions (EPI) for young people with first-episode psychosis has been well-established, research suggests that almost one-third of patients disengage from services. Although lack of family involvement and substance use have arisen as consistent factors associated with EPI disengagement, many other factors remain unexplored. Furthermore, few studies have explored patient […]

While the effectiveness of early psychosis interventions (EPI) for young people with first-episode psychosis has been well-established, research suggests that almost one-third of patients disengage from services. Although lack of family involvement and substance use have arisen as consistent factors associated with EPI disengagement, many other factors remain unexplored. Furthermore, few studies have explored patient […]

Due to the rapid growth of consumer grade devices and corresponding application market, the incorporation of vision capabilities into embedded systems has gained significant attention from researchers lately. Similarly to the human visual system, embedded computer vision systems analyze and extract information from visual content in a wide variety of products. Face recognition has been […]

The Laurentian Great Lakes and many Canadian inland waters have experienced a resurgence of cyanobacteria-dominated harmful algal blooms (cHABs), which negatively impact recreational uses, aesthetics, taste and odor in drinking water. The presence of toxins can also have dire repercussions on aquatic wildlife and human health. The factors that influence the occurrence and magnitude of […]

The Laurentian Great Lakes and many Canadian inland waters have experienced a resurgence of cyanobacteria-dominated harmful algal blooms (cHABs), which negatively impact recreational uses, aesthetics, taste and odor in drinking water. The presence of toxins can also have dire repercussions on aquatic wildlife and human health. The factors that influence the occurrence and magnitude of […]

Urinary tract infections caused by indwelling catheters (CAUTIs) employed for the treatment of urinary flow are very common. Almost 100 million of these devices are sold on an annual basis with around 25% of these being marketed in the USA. In addition to the cost of catheters and their insertion, hospital treatment of CAUITs runs […]

Urinary tract infections caused by indwelling catheters (CAUTIs) employed for the treatment of urinary flow are very common. Almost 100 million of these devices are sold on an annual basis with around 25% of these being marketed in the USA. In addition to the cost of catheters and their insertion, hospital treatment of CAUITs runs […]

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) […]