Biomarkers for detection of breast cancer and multiple myeloma using liquid biopsy

Blood tests are highly sought after to enable earlier cancer detection. We previously developed a blood test for breast cancer that is in prospective clinical study in Alberta, Manchester (UK), Oklahoma (USA) and South Korea. The proposed project will investigate some clinical samples collected through this work to support the primarily focus of identifying biomarkers for a new cancer, multiple myeloma (MM). MM has a need for new monitoring approaches as it accounts for 10% of hematologic malignancies and is hard to cure, with a low five-year survival rate.

Using adaptive management to reduce fishing pressure on Golden Cod near the Gilbert Bay Marine Protected Area (MPA)

Despite protection measures, the Golden cod sub-population in the Gilbert Bay Marine Protected Area is experiencing steep decline. Given the regulatory complexity and reluctance of industry to consider a split or delayed season for surrounding fisheries, partners aim to create an alternative solution to balance economic fishing interests with conservation objectives. The goal of this project is to explore the nature and extent of ghost gear fishing/by-catch within the North Atlantic Fishing Organization Div.

Optimizing Machine Learning to Increase Relevance in Photo Selection for Private School-Based Social Media

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations in pose, age, illumination, expression, and heterogeneous face matching. And research continues in data sampling, training and modeling to better understand and address issues related to bias.

Modeling Aerosol Dispersion in Dental Offices

The Ontario Dental Association requires the time of three hours between two clients in a dental office to prevent the transmission of COVID-19; however, this strict guideline poses a great challenge to the economics of dental business and the recovery of Ontario economy. The results of this study will help understand the COVID-19 transmission in dental offices and help develop technologies for the proper control of aerosols and splatters generated during the dental procedures.

Inventory optimization model to support customer needs while meeting business targets

Manufacturing is a $174 billion industry in Canada, representing over 10% of total GDP and 68% of merchandise exports. Inventory is the largest spend and asset for manufacturing companies, and efficient inventory management is a proven strategy to increase profitability in the manufacturing sector. The aim of inventory management is to achieve satisfactory levels of customer service while minimizing inventory costs in order to maximize profitability.

Long-term rattlesnake population trends in response to land management regime changes

Monitoring of wildlife populations is essential for identifying declines or changes, especially in response to habitat changes or disturbance. By comparing historical and modern populations, we can quantify long-term trends. In this study we are comparing historical data from the mid-1980’s to modern to identify trends within a population of Western rattlesnakes (Crotalus oreganus). During the previous study, the landscape was managed as cattle grazing land with negligible human presence.

Impact of Livestock Grazing on Grassland Herpetofauna

Grasslands cover approximately one third of the Earth’s surface but are among the most threatened and least protected habitats. Livestock grazing is one management strategy to restore degraded grassland ecosystems, but little is known about the effect of grazing on grassland reptiles and amphibians (herpetofauna). World-wide, herpetofauna are in decline and may be particularly susceptible to impacts from grazing.

3D Foot Scanner from Single View Smartphone & 3D Shoe Fit Computation

As a global leader of industrial footwear insoles, MegaComfort is actively engaged in developing innovative products to maintain healthy workers and prevent injuries. The goal of this research project is to provide a system that is able to scan a human foot from a single image or sequence of images (video) and be able to see how good of a fit the virtual 3D foot has when presented with a shoe cavity. The first objective of the project is to improve the architecture of the technique and provide viewpoint and operating performance requirements for use.

Plant oil based resins for hemp biocomposite materials

Plant oils are attractive renewable feedstocks for the synthesis of biobased resins. However, the current bioresin technologies are unable to address certain challenges including (1) achieving a sufficiently high biocontent in the final product, (2) the synthesis of bioresins via green chemistry, and (3) a commercially feasible bioresin cost. In this research, the MITACS intern will, under laboratory conditions, make two novel, high biocontent resins that have been proposed for this work.

Pan-disability COVID-19 data leadership and coordination initiative

The Canadian Autism Spectrum Disorder Alliance (CASDA) was created to develop and implement a comprehensive National Autism Strategy (NAS) to addresses critical gaps in funding and policies which are preventing autistic individuals and their families from exercising their equal rights as Canadians. COVID-19 has created additional challenges for families across Canada that must be taken into account as we set policies moving forward.

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