Harmful algal blooms (HABs) are a growing threat to drinking water, fisheries, public health, and recreation. In recent years, HABs have increased in frequency and severity in both freshwater and marine environments. Blooms are hard to monitor because they can occur unexpectedly, and reporting methods across Canada are inconsistent, creating a patchwork of alerting methods […]

The proposed project aims to develop innovative cell culture collection and extraction kits designed to streamline and improve the process of collecting cell samples in research laboratories. By addressing the current challenges of manual sample collection, such as time consumption, variability, and error-prone methods, our kit will enhance the reliability and efficiency of biological and […]

Glioblastoma (GBM) is an aggressive brain cancer with a five-year survival rate of less than 5%, primarily due to the tumor’s high recurrence rate. The critical challenge in GBM treatment is extending patient survival while maintaining quality of life. Current minimally invasive surgical techniques for GBM involve using endoscopic tools guided by optical microscopes and […]

Lithium-ion batteries are becoming increasingly common as the demand for energy storage in vital sectors like automotive and grid storage is on the rise. Each year, lithium-ion battery manufacturers dispose of 2% to 10% of their products, leading to financial losses of up to billions of dollars. Our research group recently found that inactive components […]

Self-supervised representation learning (SSRL) has advanced considerably by exploiting the transformation invariance assumption under artificially designed data augmentations. While augmentation-based SSRL algorithms push the boundaries of performance in computer vision and natural language processing, they are often not directly applicable to other data modalities, and can conflict with application specific data augmentation constraints. This project […]

The AIaaS (AI as a Service) project aims to develop an advanced, scalable platform to host and manage AI models, ensuring high performance and efficiency. This open-source system will leverage the latest AI technologies and distributed computing to deliver fast and reliable AI services. Key features include automated load balancing, dynamic resource allocation, and real-time […]

When you go to the dentist and receive a white filling, this resin filling is hardened in the tooth using blue light from a dental curing light. Health Canada classifies curing lights as Class I Medical Devices, but they do not test if the manufacturer’s claims are correct. There are many different brands of lights […]

The general objective of this research is to investigate the effectiveness of fine-tuning large language models (LLMs) for the purpose of enhancing patent generation and brainstorming processes across various domains. The project follows an agile project management approach, emphasizing continuous small releases. The project is important to XLSCOUT as it aims to enhance text clustering, […]

The cornea is a thin transparent tissue that protects the internal parts of the eye and refracts light onto the retina. Severe corneal damage can lead to irreversible scarring that prevents light from passing through the cornea, causing long-term vision loss. The best treatment for severe corneal damage is to transplant donor corneal tissue from […]

Seaweed aquaculture is an important and increasingly large part of the global economy, and, more recently, a potential solution to combat climate change. The element nitrogen is a key limiting resource for the growth of marine plants, including seaweed. Tracing and modeling nitrogen in the environment is challenging at large scales and requires substantial computational […]

The proposed project will investigate different nitrogen fertilizers in grain corn including products developed to release nitrogen more closely with when the crop demand is higher to reduce environmental impact. Results from the project will provide recommendations to growers regarding the best type, and the optimum rate and nitrogen split application timings of EENFs in […]

Medventions is a full-time 14 week paid program that allows students and new graduates to take part in physician-led, hospital-based fellowship training. Fellows come from different areas of study and will get hands on experience in a clinical setting with innovators and experienced mentors. It equips fellows to identify priority healthcare needs and develop their […]