This project represents the initial step in a larger project, the development of a “Healthy Body Scorecard” which will allow for more comprehensive and holistic approach to measurement and classification of health in children. This particular project will involve an in depth review of current literature in order to identify the various forms of health […]

Corn is widely used in many industrial sectors, especially in the production of alcohol in countries like Canada. Corn production involves heavy application of chemical fertilizers which accounts at least 20% of the energy costs to a producer. Usage of biofertilizers may be one alternative for reducing production costs. The objective of this proposal is […]

Audits of rural acute center in Maidstone and Turtleford to determine true rates of hospital acquired infections; Audits of hospital acquired infections in North Battleford, Meadow Lake and Lloydminster, to validate present reporting procedure and provide recommendations based on collected data. These data will be assessed and analyzed. This will provide a good opportunity for […]

Osteoarthritis is a major cause of disability in dogs. Today, the therapeutic role of mesenchymal stromal cells (MSCs) as a potential treatment for immune and inflammatory disorders is well-defined. We are interested in exploring the immune-modulatory property of canine MSCs with the aim of exploiting it as a potential therapy in dogs with Elbow Dysplasia. […]

L’entérocolite nécrosante (NEC) est la plus commune et la plus meurtrière des maladies inflammatoires de l’intestin. Elle affecte 5 à 10 % des enfants prématurés ayant un poids inférieur à 1500 g. Le lait maternel constitue l’approche la plus efficace pour prévenir ou traiter la NEC. En effet, il a été montré que l’alimentation avec […]

The safety and quality of vaccine products are an integral requirement for all vaccine manufacturing and production. Most current tests are using laboratory equipment that requires trained personnel, equipment qualification, method validation, manual sampling, and testing at various stages of product manufacturing. However, the off-line testing is slow, often requires significant volume of material for […]

Environmental variability is a fundamental component of adaptation; it is usually associated with modifications in the organism’s observable traits, particularly for those with limited plasticity. We will use a bioenergetic model as a framework to understand this variance in the organism’s traits. We will focus on the effect of individual physiological differences, which are represented […]

Background information: York University is committed to helping students adopt evidence-based health practices associated with reduced disease risk. The Healthy Students Initiative (HSI) will evolve as a volunteer, health promotion cohort accessible for serial studies linking risk markers, self report measures and health outcomes. Given the high prevalence of mobile/smartphone/online computer access in university youth, […]

This project seeks to add value to agri-food waste by extracting natural chemicals from the waste for use in new crop protection applications and then using the leftover material as a diet ingredient for producing black solider fly larvae. Multiple products can be obtained from black solider fly larvae including fertilizer, protein and oil. The […]

Cannabis sativa is a plant grown used as industrial hemp, for CBD oil, and both medicinal and recreational cannabis (marijuana). Since production has historically been prohibited in Canada and the USA, little is known about insect pests of cannabis, including a species of aphid, the cannabis aphid (Phorodon cannabis). In order to develop effective management […]

Antibiotic resistant bacteria are one of the major threats of the 21st century. These superbugs, which are resistant to virtually all our antibiotic arsenal, turns benign infections, such as urinary tract infections, into life threatening diseases. It is estimated that, by 2050, 10 million people will die each year because of antibiotic resistance. We thus […]

This research project will combine computational modeling, machine learning (ML) algorithms and whole-brain neural recordings (magnetoencephalography, MEG) to shed light on how the mechanisms underlying dynamic decision making are implemented in the human brain. Specifically, we will use the statistical framework of information theory to characterize inter-areal neural coupling and the direction of information flow […]