Evaluate the biodistribution of HyperMabs protein biologics therapeutics

HyperMabs is a biopharmaceutical company that designs and develops innovative therapeutics targeting lung diseases. HyperMabs is currently evaluating a drug candidate developed using in-silico methods to target lung disease. For this project, we aim to study the biodistribution of HyperMabs therapeutic, currently in its pre-clinical stage designed to treat several lung diseases. To achieve this, we wish to label the HyperMabs therapeutic with a labeling molecule to facilitate visualization of distribution of the therapeutic in lungs.

Data analytics in asset management of erosion control structures

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline erosion, which in turn will help safe shoreline properties and community spaces from increased erosion. The accurate perdition of erosion will also enable TRCA to develop effective plans to protect natural habitat.

Oblivious IDS using Homomorphic Encryption

Intrusion Detection System (IDS) is used to protect internal networks of companies and organizations against malicious activities and policy violations. These systems are typically under the full control of the local system administrator. In this project, we propose to use Homomorphic Encryption techniques to design and implement an Intrusion Detection System that can run as a service on the cloud. In this model, the cloud system administrator who runs and operates the IDS does so while being completely oblivious to the underlying policies and matching rules.

Optimizing Pretrained Clinical Embeddings for Automatic COVID-related ICD Coding (Phase II)

We are building a machine-learning algorithm to be able to understand the unstructured clinical notes better and to identify the most appropriate ICD codes for each visit. This algorithm will help healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick patients are, what procedures are performed and how patients are improving over time.

Development of a robust SPR system for the detection of growth factors in an insect-based expression platform

Growth factors are signaling molecules used in cell culture that provide cues to cells. They are one of the key inputs and main consumables in lab growth meat production. Because of this, they are the main driver of production costs. Future Fields is a Canadian biotechnology company that has developed a more cost-effective and scalable platform for producing key growth factors for lab grown meat production; however, analysis of growth factors produced in Future Fields’ system is costly and time consuming.

Canadian Optical Satellite Communications Consortium Technology Roadmapping

As part of the Optical Satellite Communications Consortium (OSC) and in partnership with Satellite Canada Innovation Network (SatCan), this two and a half year project will build towards developing a new Technology Roadmap for emerging optical technologies applicable for future satellite communications (SatCom) developed in Canada.

Designing a Great Slave Lake Fishery by Northerners for Resilient Futures in the NWT

The Great Slave Lake Fishery can enhance food security and food sovereignty for northern residents of the Northwest Territories as indicated in many Government of Northwest Territories strategic plans. The Arctic Research Foundation will work with a Post Doctoral Fellow based at the Natural Resources Institute, University of Manitoba, to engage northern residents and governments of Northwest Territories in the project.

Designing for better novice assembly: towards energy efficient novice building

This research is about technologies for ‘DIY’ or ‘novice’ home-construction. The research asks if high energy efficiency homes could be built by novice and non-expert builders. Energy efficient construction is an increasingly expert craft: with specialized knowledge, tools, and practices now required to achieve excellent building energy performance, this presents barriers to building efficiency for novice builders.

Methods development and applications for neuromelanin-sensitive MRI

Dopamine and noradrenaline are neurotransmitters that are released from neurons located in the substantia nigra and locus coeruleus. Therefore, these brain structures have the unique property of containing high concentrations of neuromelanin, a dark pigment that can be visualized with specialized MRI sequences. The neuromelanin-sensitive MRI signal has been used to visualize degeneration of these neurons. Recent work has shown that this signal can also serve as a proxy measure for long-term imbalance in activity of these neurotransmitter systems.

Development of a new generation of neurovascular device for the treatment of fusiform cerebral bifurcation aneurysms using CFD modeling and virtual simulation of stent crimping into a catheter

Cerebral aneurysm (CA), is an abnormal dilation of the cerebral arterial wall, which accounts for more than half a million deaths each year worldwide. Flow diverters (FDs) represent one method recently developed in treating CAs.