Developing and validating population models to estimate wildlife densities and inform land-use management in industrializing boreal landscapes

Monitoring of population density is crucial for conserving wildlife species and determining responses to management efforts. However, estimating density is particularly difficult when individuals are not distinguishable from each other. There is pressing need to validate the robustness of recently developed models that estimate density from such ‘unmarked’ populations before widespread application to real-world data, especially for species under management or at risk.

Characterization of a Biolubricant Based on Sulfated Polysaccharide Derived from Brown Algae

Lubricant is the substance used to decrease the friction generated between the two surfaces undergo relative motion. There are many applications for naturally occurring lubricants in medical field to improve a patient’s quality of life. Fucoidan is one of the naturally occurring lubricants that has the potential of reducing adhesion after an abdominal surgery. ARC Medical devices have developed an advanced manufacturing process to produce ultra-pure fucoidan that’s more suitable for clinical application.

Development of durable hydrocarbon-based proton exchange membrane for fuel cell applications

This MITACS project aims to investigate the durability of IONOMR’s PEMIONTM membranes in Proton Exchange Membrane (PEM)-based fuel cells for automotive and other applications. Specific test conditions and protocols for use at IONOMR based on industry standards will be developed and the materials will be benchmarked against current state-of-the-art materials in order to prioritize development efforts and aid in customer adoption efforts.

Label-free Multiphoton Microscopy Imaging for Guiding the Surgery of Skin Basal Cell Carcinomas

Basal cell carcinoma (BCC) is the most common cancer type. Although it can be surgically removed, to confirm the clean removal by histology is time-consuming, which complicates the treatment and results in many incomplete removals. We propose to develop a special microscopy imaging platform that can image the skin tissue directly without sectioning and staining. This will enable detection of residual tumor cells by examining the excised fresh tissue samples on site during the surgery, providing immediate guidance for improving the treatment procedures.

Endoscopic Laser Raman Spectroscopy for Colorectal Cancer Detection in IBD Patients

Inflammatory Bowel disease (IBD) affects over 200,000 Canadians. Individuals with IBD have significantly greater risk of developing colorectal cancer. Unfortunately, the screening for colorectal cancer that is currently provided to the general population is inadequate for this group. White light colonoscopy is currently the gold standard but is challenging, as lesions are sometimes difficult to identify. Thus, random biopsies, in addition to targeted biopsies of abnormalities visualized by white light, are often performed.

A Data-driven Approach to Model Viscous Fingering in Imbibition vs. Drainage at the Pore Scale

After primary oil production stage, reservoir energy is depleted. At this stage, the reservoir needs to be re-energized through enhanced oil recovery techniques. In these techniques, an external fluid is injected into the reservoir to displace oil in place towards the production wells. Water is the most common fluid used in enhanced oil recovery processes. Parameters such as water viscosity, oil in place viscosity, reservoir rock wetting state, water injection velocity, etc. critically affect the water flow pathways during flow in a reservoir.

5G-enabled Smart Buildings for Energy and Space Management

This project aims to propose a novel fifth generation (5G)-enabled machine learning based edge computing solution for the optimal energy and space management of smart buildings and implement it in hardware to validate its performance. The proposed solution exploits the energy and space management databases, enriched by the emerging advanced sensor technologies and 5G wireless communication networks in smart buildings.

A novel multi-echo MRI technique for prostate cancer detection and grading

We propose to develop a novel, clinically relevant MRI based technique for prostate cancer detection. We also propose to develop a novel reporting system that would be more accurate and easier to use by the radiologists. The new technique will be first developed on a research MRI scanner at UBC, and subsequently implemented on the clinical MRI scanner at VGH. The main benefit to the hospital will be a new, improved MRI technique for prostate cancer detection and grading.

Structural investigation of a bispecific antibody for treatment of HER2-expressing cancers

Zanidatamab is an antibody being evaluated in clinical trials to treat breast cancer, biliary tract cancer and gastroesophageal adenocarcinomas linked to the overabundance of a protein known as HER2. Zanidatamab was developed to bind to two copies of HER2 in tandem instead of one, increasing its binding affinity and improving its inhibition of HER2 tumor-promoting activities. The binding of each zanidatamab to two copies of HER2 is proposed to form a network of HER2 linked by zanidatamab.

Optimizing a Gauze Dressing that Effectively Delivers Tranexamic Acid, Thrombin and Calcium for Severe Hemorrhage

Bleeding is a major cause of death for both civilians and military personnel. Between 2001-2011, 976 deaths on the battlefield were deemed potentially survivable, with 90.9% associated with hemorrhage. Typical strategies for stopping bleeding, such as compressing the wound, are less feasible in these situations. The proposed work aims to develop a new wound dressing carrying hemostatic drugs to treat these severe bleeding scenarios. The new dressing, named “CounterFlow-Gauze”, propels tranexamic acid and thrombin throughout the wound site.

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